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JACIII

ESCI

Journal of Advanced Computational Intelligence and Intelligent Informatics

ISSN : 1343-0130(Print) / 1883-8014(Online)
DOI : 10.20965/jaciii.issn.1883-8014
Honorary Editor : Lotfi A. Zadeh (University of California)
Editors-in-Chief : Toshio Fukuda (Meijo University),
Kaoru Hirota (Beijing Institute of Technology; JSPS Beijing Office)

Indexed in ESCI, Scopus, Compendex (Ei)

Scopus
  • In Cooperation with :
  • International Fuzzy Systems Association (IFSA), Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT), Brazilian Society of Automatics (SBA), The Society of Instrument and Control Engineers (SICE), John von Neumann Computer Society (NJSZT), Vietnamese Fuzzy Systems Society (VFSS), Fuzzy Systems and Intelligent Technologies Research Society of Thailand (FIRST), Korean Institute of Intelligent Systems (KIIS), Taiwanese Association for Artificial Intelligence (TAAI)

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2017-09-22T04:34:40+0000

Vol.16 (2012)

No.7

(Nov)

Special Issue on Advanced Intelligent Systems

Regular Papers

: pp. 771-783
Rebo: A Pet-Like Strokable Remote Control
Abstract
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Kazuki Kobayashi, Seiji Yamada, Shinobu Nakagawa, and Yasunori Saito
: pp. 784-792
Entropy-Regularized Fuzzy Clustering for Non-Euclidean Relational Data and Indefinite Kernel Data
Abstract
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Yuchi Kanzawa
: pp. 793-799
Multi-Scale Bag-of-Features for Scalable Map Retrieval
Abstract
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Kanji Tanaka and Kensuke Kondo
: pp. 800-806
A Dynamic Risk Allocation of Value-at-Risks with Portfolios
Abstract
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Yuji Yoshida
: pp. 807-813
Agglomerative Hierarchical Clustering Without Reversals on Dendrograms Using Asymmetric Similarity Measures
Abstract
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Satoshi Takumi and Sadaaki Miyamoto
: pp. 814-818
Sequential Regression Models with Pairwise Constraints Using Noise Clusters
Abstract
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Hengjin Tang and Sadaaki Miyamoto
: pp. 819-824
Comparison of Semi-Supervised Hierarchical Clustering Using Clusterwise Tolerance
Abstract
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Yukihiro Hamasuna and Yasunori Endo
: pp. 825-830
Hard and Fuzzy c-Means Clustering with Conditionally Positive Definite Kernel
Abstract
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Yuchi Kanzawa, Yasunori Endo, and Sadaaki Miyamoto
: pp. 831-840
Hard c-Means Using Quadratic Penalty-Vector Regularization for Uncertain Data
Abstract
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Yasunori Endo, Arisa Taniguchi, and Yukihiro Hamasuna
: pp. 841-850
A Mutual-Information-Based Global Matching Method for Chest-Radiography Temporal Subtraction
Abstract
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Qian Yu, Lifeng He, Tsuyoshi Nakamura, Yuyan Chao, and Kenji Suzuki
: pp. 851-863
An Explicit Memory Scheme of Genetic Network Programming
Abstract
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Shingo Mabu, Fengming Ye, and Kotaro Hirasawa

Special Issue on Advanced Intelligent Systems

: p. 865
Advanced Intelligent Systems
Myung-Geun Chun and Toshihiko Watanabe

The 12th International Symposium on Advanced Intelligent Systems (ISIS 2011) held at La Vie DfOr Resort, Suwon, Korea, on September 28 to October 1, 2011, featured presentations by researchers, engineers and practitioners on the latest accomplishments, innovations and applications in artificial intelligence, intelligent systems, and information technology. The 152 papers consisted of 110 regular papers, 39 organized session papers and 3 invited papers were contributed to the conference. The Program Committee requested ISIS 2011 reviewers to select papers for a special issue of the Journal of Advanced Computational Intelligence & Intelligent Informatics (JACIII), of which about 10 were accepted for publication in a twopart ISIS 2011 special issue, Vol.16, No.7, containing 5 papers. Part II will feature about 5 papers.

A brief review of Part I covers 5 papers:

First paper proposes a quantitative model for assessing the collision risk in maritime waterway traffic. The method proposes recent maritime traffic characteristics in time-variant CPA waterway environments and models a dynamic causation factor as a risk indicator. Second paper proposes multiagent query refinement realizing personalized query refinement by three strategies ? knowledge-based query expansion, user-device-based query and weighted query expansion strategy. These approaches determine the domain that the initial query belongs to and expand the query by comprehensively considering user interests. Third paper presents variable-step-size incremental conductance direct maximum power point tracking using fuzzy membership for a standalone photovoltaic system under rapidly changing irradiation. Fourth paper applies a natural actor-critic (NAC) and natural evolution strategies (NES) from natural-gradient-based machine learning to path-tracking control problems for autonomous vehicles. Fifth paper presents features for authenticating painting style, specifically that of Piet Mondrain. It demonstrates meaningful features using two supervised learning algorithms ? decision tree induction algorithm C4.5 and the feature generating machine (FGM) ? selecting important features in the course of learning.

We thank the reviewers for their time and effort in making this special issue available so quickly. We are also grateful to the JACIII editorial office for invaluable assistance and advice in putting the issue together.

: pp. 866-873
Risk Assessment Model of Maritime Traffic in Time-Variant CPA Environments in Waterway
Abstract
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Jung Sik Jeong, Gyei-Kark Park, and Kwang Il Kim
: pp. 874-880
A Multi-Agent Personalized Query Refinement Approach for Academic Paper Retrieval in Big Data Environment
Abstract
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Qian Gao and Young Im Cho
: pp. 881-887
A Variable Step Size Incremental Conductance Direct MPPT Method for Stand-Alone PV Systems
Abstract
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Jae-Hoon Cho, Jin-Il Park, Won-Pyo Hong, and Myung-Geun Chun
: pp. 888-893
Autonomous Vehicle Path Tracking Based on Natural Gradient Methods
Abstract
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Ki-Young Kwon, Keun-Woo Jung, Dong-Su Yang, and Jooyoung Park
: pp. 894-899
Supervised Learning-Based Feature Selection for Mondrian Paintings Style Authentication
Abstract
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Keon Myung Lee, Kyoung Soon Hwang, Kyung Mi Lee, Seung Kee Han, Woo Hyun Jung, and Seungbok Lee

No.6

(Sep)

Regular papers

Regular Papers

: pp. 677-686
Optimal Parameter Setting of Active-Contours Using Differential Evolution and Expert-Segmented Sample Image
Abstract
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Arman Darvish and Shahryar Rahnamayan
: pp. 687-695
A Combined Method Based on SVM and Online Learning with HOG for Hand Shape Recognition
Abstract
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Kazutaka Shimada, Ryosuke Muto, and Tsutomu Endo
: pp. 696-703
A Person Identification Method Using a Top-View Head Image from an Overhead Camera
Abstract
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Ryota Nakatani, Daichi Kouno, Kazutaka Shimada, and Tsutomu Endo
: pp. 704-712
Proposal of Method “Motion Space” to Express Movement of Robot
Abstract
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Kentarou Kurashige, Naoki Kitayama, and Masafumi Kiyohashi
: pp. 713-722
An Evaluation Strategy for Visual Key Image Retrieval on Mobile Devices
Abstract
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Kazushi Okamoto, Kazuhiko Kawamoto, Fangyan Dong, Shinichi Yoshida, and Kaoru Hirota
: pp. 723-732
Human-Machine Cooperation in an iSpace Robot Room
Abstract
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Balázs Tusor, Annamária R. Várkonyi-Kóczy, Gábor Klie, and Gábor Kocsis
: pp. 733-740
An Adaptation System in Unknown Environments Using a Mixture Probability Model and Clustering Distributions
Abstract
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Uthai Phommasak, Daisuke Kitakoshi, and Hiroyuki Shioya
: pp. 741-747
Localization with a Mobile Anchor Using ABC-GA Hybrid Algorithm in Wireless Sensor Networks
Abstract
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Rongbin Qi, Sijin Li, Tianyi Ma, and Feng Qian
: pp. 748-757
A Time-Delay-Dependent Approach for a Class of T-S Fuzzy Models with Time Delays and Uncertainties
Abstract
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Hugang Han and Taku Tanaka
: pp. 758-768
Introduction of Fixed Mode States into Online Reinforcement Learning with Penalties and Rewards and its Application to Biped Robot Waist Trajectory Generation
Abstract
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Seiya Kuroda, Kazuteru Miyazaki, and Hiroaki Kobayashi

No.5

(Jul)

Professor Ebrahim Mamdani Memorial Issue

Regular Papers

: pp. 561-566
Strategic Management and Design Innovation in the Long-Standing Company Kyogashi Master “Suetomi”
Abstract
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Yusuke Irisawa and Shin’ya Nagasawa
: pp. 567-575
The Cluster-Weighted DEMATEL with ANP Method for Supplier Selection in Food Industry
Abstract
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Jung-Lu Shen, Yong-Mei Liu, and Yi-Lin Tzeng
: pp. 576-580
Japanese Economic Analysis by Possibilistic Regression Model Building Through Possibility Maximization
Abstract
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Yoshiyuki Yabuuchi and Junzo Watada
: pp. 581-590
A Cooperative Coevolutionary Stock Trading Model Using Genetic Network Programming-Sarsa
Abstract
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Yang Yang, Zhaoping He, Shingo Mabu, and Kotaro Hirasawa

Professor Ebrahim Mamdani Memorial Issue

: p. 591
Professor Ebrahim Mamdani Memorial Issue
Yoshinori Arai and Toshihiko Watanabe

On February 22, 2010, Prof. Ebrahim H. Mamdani who devised Mamdani fuzzy inference has passed away. His work in fuzzy inference, which rapidly paved the way to its practical use, helped disseminate Prof. Lotfi Zadehfs fuzzy logic and the development of fuzzy research.

Prof. Mamdanifs two papers on fuzzy inference ? gApplication of fuzzy algorithms for control of simple dynamic planth (Proc. IEE, Vol.121, No. 12, pp. 1585-1588, 1974) and gAn experiment in linguistic synthesis with a fuzzy logic controllerh (Int. J. of Man-Machine Studies, Vol.7, No.1, pp. 1-13, 1975) with S. Assilian ? enabled fuzzy inference technology to develop dramatically both indicatively and indirectly to where it has been applied, including fuzzy control systems.

This special issue honors Prof. Mamdani for his invaluable efforts in these and many other fields. We have asked for submissions by researchers influenced by Prof. Mamdanifs achievements, including his work in fuzzy inference, and have narrowed down to one review and seven full papers. The review by Hirosato Seki and Kai Meng Tay provides an incisive overview on the many aspects of fuzzy inference that Prof. Mamdani brought to light.

Prof. Mamdanifs fuzzy inference has become a deterministic technology that can be chosen naturally and that will continue to be influential and survivable well into the future.

: pp. 592-602
On the Monotonicity of Fuzzy Inference Models
Abstract
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Hirosato Seki and Kai Meng Tay
: pp. 603-610
Latent Topic Estimation Based on Events in a Document
Abstract
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Risa Kitajima and Ichiro Kobayashi
: pp. 611-618
Topic Tracking Based on Identifying Proper Number of the Latent Topics in Documents
Abstract
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Midori Serizawa and Ichiro Kobayashi
: pp. 619-630
Process Estimation of Word-of-Mouth Information Spread Based on Ad Hoc Communications
Abstract
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Daisuke Katagami, Mizuki Takei, and Katsumi Nitta
: pp. 631-640
Representing Visual Complexity of Images Using a 3D Feature Space Based on Structure, Noise, and Diversity
Abstract
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Phuc Q. Le, Abdullah M. Iliyasu, Jesus A. Garcia Sanchez, Fangyan Dong, and Kaoru Hirota
: pp. 641-652
Drawing Algorithm for Fuzzy Graphs Using the Partition Tree
Abstract
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Yasunori Shiono, Tadaaki Kirishima, Yoshinori Ueda, and Kensei Tsuchida
: pp. 653-661
Modeling Approach Based on Modular Fuzzy Model
Abstract
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Toshihiko Watanabe and Hirosato Seki
: pp. 662-667
Development of a System Incorporating a Multifunctional Actuator Using an Intelligent Multifunction Control Method
Abstract
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Kazuki Kuribayashi and Seiji Yasunobu

No.4

(Jun)

Special Issue on Modeling and Simulation

Special Issue on Modeling and Simulation

: pp. 487-488
Modeling and Simulation
Marzuki Khalid, Rubiyah Yusof, Shamsuddin Amin, and Junzo Watada

Modeling and simulation play pivotal roles in engineering design. Tools for modeling and simulation have led to both faster design, higher viability and lower design cost. This special issue presents 10 papers on modeling and simulation in a variety of applications.

The first paper, by Sayed Mohammad Reza Loghmanian et al., is entitled gNonlinear Dynamic System Identification Using Volterra Series: Multi-Objective Optimization Approach.h This paper deals with system identification of the nonlinear dynamic system based on an optimized Volterra model structure. The developed model fulfilled two criteria, or objectives, namely, good predictive accuracy and optimum model structure. Genetic algorithms are applied to search for significant Volterra kernels among all possible candidate model combinations.

The second paper, by Masao Ogino et al., is entitled gA Large-Scale Magnetostatic Analysis Using an Iterative Domain Decomposition Method Based on the Minimal Residual Method.h Large-scale 3D nonlinear magnetostatic analysis using the domain decomposition method (DDM) improves convergence based on the conjugate residual (CR) method. Compared to the conjugate gradient method, the CR method and minimal residual method both improve the convergence rate and show stable convergence behavior in solving an interface problem. Computation time is largely reduced for this large-scale problem, which has about 10 million degrees of freedom.

The third paper, by Yoshiyuki Yamashita, is on gSemi-Qualitative Trend Analysis for the Monitoring of Process Control Loops,h and deals with a qualitative approach, rather than an analytical approach, in monitoring process plants. Using this method enabled us to diagnose a control valve problem in a process control loop. Several applications are also discussed.

The fourth paper, by Hiroshi Dan and Hiroshi Kanayama, is entitled gFinite Element Analysis of Tsunami by Viscous Shallow-Water Equations.h With the number of tsunamis and earthquakes occurring worldwide today, such simulation is important in many fields. Viscous shallow-water equations are derived from three-dimensional Navier-Stokes equations under hydrostatic assumptions. This approach is used to simulate a tsunami in Hakata Bay.

The fifth paper, by Junzo Watada et al., is entitled gAn Affective Approach to Developing Marketing Strategies of Mineral Water.h This research concerns the development of a marketing strategy for mineral water based on taste features obtained by chemically and physically analyzing the taste components of mineral water. Two-dimensional analysis of self-organizing map (SOM) was used to classify the evaluation of taste data. Data characteristics are recognized in the taste of mineral water by correlation analysis. A combination of principal component analysis and SOM classifies the taste of mineral water. Marketing strategies are also concluded after evaluation.

The sixth paper, by Yoshitsugu Aoki et al., is entitled gNew Approach for Antisense Oligonucleotide-Mediated Exon Skipping in Duchenne Muscular Dystrophy.h It reviews highlights of the challenges in antisense oligonucleotide-based therapeutics for treating and Intelligent Informatics DMD, focusing on exon 51-skipping.

The seventh paper, entitled gBuilding a Type-2 Fuzzy Qualitative Regression Model,h is by Yicheng Wei and Junzo Watada. From a theoretical fuzzy-set point of view, uncertainty exists in the membership function value of a type-1 fuzzy set, greatly impacting on the fuzziness of the external criterion of the qualitative objective. This paper models qualitative change in the external criterionfs fuzziness by applying the type-2 fuzzy set. Here, qualitative values are assumed to be fuzzy degrees of membership in qualitative categories, and qualitative change in the objective external criterion is given as the fuzziness of output.

The eighth paper, entitled gPSO-Particle Filter-Based Biometric Measurement for Human Tracking,h is by Zhenyuan Xu and Junzo Watada. It discusses an interesting application based on particle swarm optimization (PSO). Its objective is to build a mathematical model and a method for human tracking that can be used for biometric surveillance. This human tracking marks the size of human beings and objects in a picture to that if the picture is placed in a framework of axes, height and other biometric lengths can be calculated.

The ninth paper, by Josu? Roberto Lozano et al. is on g360 Degree Selective Laser Trabeculoplasty in Mexican Population.h This research uses statistical analysis of Repeated Measures One-Sample T Test, Paired-Samples T Test + Pearson Correlation Coefficient Test, and the Wilcoxon Signed-Rank Test in order to evaluate the efficiency of Selective Laser Trabeculoplasty procedure (SLT procedure). The authors showed in the paper that the treatment with SLT applied to Mexican patients with OAG reduces IOP and the patientfs need for topical medical therapy, which can lead to a better control of the disease and compliance to treatment.

The tenth paper, by Shinichiro Terasaki and Shinfya Nagasawa, is on gThe Relationship Between Brand Integrity and Business Continuity ? A Case Study of Japanese Long-Standing Company, Shioyoshiken ?.h The Shioyoshiken brand of Japanese sweets is well appreciated by individual customers who emphasise the value of customized sweets, particularly for Japanese tea parties and weddings. This case study explores Shioyoshiken gRashisa,h or gidentity,h to identify the secret of its long-standing brand strength.

: pp. 489-495
Nonlinear Dynamic System Identification Using Volterra Series: Multi-Objective Optimization Approach
Abstract
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Sayed Mohammad Reza Loghmanian, Rubiyah Yusof, and Marzuki Khalid
: pp. 496-502
A Large-Scale Magnetostatic Analysis Using an Iterative Domain Decomposition Method Based on the Minimal Residual Method
Abstract
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Masao Ogino, Shin-ichiro Sugimoto, Seigo Terada, Yanqing Bao, and Hiroshi Kanayama
: pp. 503-507
Semi-Qualitative Trend Analysis for the Monitoring of Process Control Loops
Abstract
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Yoshiyuki Yamashita
: pp. 508-513
Finite Element Analysis of Tsunami by Viscous Shallow-Water Equations
Abstract
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Hiroshi Dan and Hiroshi Kanayama
: pp. 514-520
An Affective Approach to Developing Marketing Strategies of Mineral Water
Abstract
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Junzo Watada, Le Yu, Munenori Shibata, and Marzuki Khalid
: pp. 521-526
New Approach for Antisense Oligonucleotide-Mediated Exon Skipping in Duchenne Muscular Dystrophy
Abstract
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Yoshitsugu Aoki, Tetsuya Nagata, and Shin’ichi Takeda
: pp. 527-532
Building a Type-2 Fuzzy Qualitative Regression Model
Abstract
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Yicheng Wei and Junzo Watada
: pp. 533-539
PSO-Particle Filter-Based Biometric Measurement for Human Tracking
Abstract
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Zhenyuan Xu and Junzo Watada
: pp. 540-546
360 Degree Selective Laser Trabeculoplasty in Mexican Population
Abstract
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Josué Roberto-Lozano, Mariya V. Kalashnikova, Gustavo Velasco-Gallegos, and Junzo Watada
: pp. 547-552
The Relationship Between Brand Integrity and Business Continuity – A Case Study of Japanese Long-Standing Company, Shioyoshiken –
Abstract
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Shinichiro Terasaki and Shin’ya Nagasawa

No.3

(May)

Regular papers

Regular Papers

: pp. 375-380
A Neural Network Model of Students’ English Abilities Based on Their Affective Factors in Learning
Abstract
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Fitra A. Bachtiar, Katsuari Kamei, and Eric W. Cooper
: pp. 381-387
Fuzzy Hidden Markov Models for Indonesian Speech Classification
Abstract
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Intan Nurma Yulita Houw Liong The, and Adiwijaya
: pp. 388-396
Multiscale Image Aggregation for Dental Radiograph Segmentation
Abstract
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Martin Leonard Tangel, Chastine Fatichah, Muhammad Rahmat Widyanto, Fangyan Dong, and Kaoru Hirota
: pp. 397-403
Substitute Target Learning Based Control System for Control Knowledge Acquisition Within Constrained Environment
Abstract
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Syafiq Fauzi Kamarulzaman, Takeshi Shibuya, and Seiji Yasunobu
: pp. 404-411
Investigation About Applicability of Personal Values for Recommender System
Abstract
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Shunichi Hattori and Yasufumi Takama
: pp. 412-419
Parameter Optimization of Local Fuzzy Patterns Based on Fuzzy Contrast Measure for White Blood Cell Texture Feature Extraction
Abstract
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Chastine Fatichah, Martin Leonard Tangel, Muhammad Rahmat Widyanto, Fangyan Dong, and Kaoru Hirota
: pp. 420-424
On Network Structure of Stable Strategies in Local Connection Games
Abstract
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Hikaru Iwazaki, Takenori Ujigawa, and Shao-Chin Sung
: pp. 425-429
The Analysis of Consumer Purchasing Behavior on Cosmetics
Abstract
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Ya-Ling Wu and You-Shyang Chen
: pp. 430-435
Coalition Formation Based Staffing Strategy Development
Abstract
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Mayuko Miyata and Shao-Chin Sung
: pp. 436-443
The Effective Technology- and Resource-Management Strategy of Established Japanese Company: A Case Study of Toraya, a Traditional Japanese Confectioner
Abstract
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Kana Sugimoto, Takao Someya, and Shin’ya Nagasawa
: pp. 444-452
A Study on Fuzzy Control of Humanoid Soccer Robot EFuRIO for Vision Control System and Walking Movement
Abstract
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Indra Adji Sulistijono, Son Kuswadi, One Setiaji, Inzar Salfikar, and Naoyuki Kubota
: pp. 453-461
Tournament Evaluation System Applying Win-Lose Result Presumption Considering Kansei Evaluation by Multiple People
Abstract
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Hiroshi Takenouchi, Masataka Tokumaru, and Noriaki Muranaka
: pp. 462-468
Division of Iterative-Transportation Based on Local Observation by Multiple Mobile Robots
Abstract
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Yuichi Kobayashi, Yuta Sato, and Manabu Gouko
: pp. 469-480
OGDE3: Opposition-Based Third Generalized Differential Evolution
Abstract
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Farid Bourennani, Shahryar Rahnamayan, and Greg F. Naterer

No.2

(Mar)

Special Issue on Innovation over Multimedia Processing
Special Issue on Cognitive Infocommunications

Regular Papers

: pp. 183-190
Proposal of the Continuous-Valued Penalty Avoiding Rational Policy Making Algorithm
Abstract
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Kazuteru Miyazaki
: pp. 191-198
Fuzzy Three-Dimensional Voronoi Diagram and its Application to Geographical Data Analysis
Abstract
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Mian Dai, Fangyan Dong, and Kaoru Hirota
: pp. 199-209
An Efficient Solution of Real-Time Fuzzy Regression Analysis to Information Granules Problem
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Azizul Azhar Ramli, Junzo Watada, and Witold Pedrycz

Special Issue on Innovation over Multimedia Processing

: p. 211
Innovation over Multimedia Processing
Hajime Nobuhara

With broadband networks, audio/video coding, and processing techniques and user devices swiftly advancing, multimedia streaming over networks is now a reality. Distributed interactive multimedia applications ? one of the fastest growing market sectors demanding innovations ? are covered in this special issue on multimedia processing (MP).

This special issue focuses on ambitious and intriguing papers from experts on a wide variety of multimedia areas. These articles address innovations and offer effective solutions to MP problems.

Y. Fushio et al. propose a shadow generation system based on shape recognition, while M. Suzuki et al. develop musical expression generation reflecting the userfs impression in kansei space and fuzzy rules. K. Ishizuka et al. evaluate an operetta songs generation system based on the impressions given by story scenes, which are strongly related to the integrative research projects of kansei engineering, music, text, and visual perception.

T. Toyota et al. develop a web news visualization system based on an efficient self-organizing map using a restricted region search and dimensionality reduction. S. Kawauchi et al. propose a knowledge expansion support system using related search keyword generation based on Wikipedia categories and point-wise mutual information, involving that are aggressive looking progressive research projects covering huge text information. T. Tanabata et al. present an interactive data mining tool for microarray data analysis using formal concept analysis, which adds a new dimension to the bio-informatics field.

T. Kawamura et al. analyze keywords input to a book search engine. T. Sugimoto et al. propose a recommendation system involving the use of comprehensive trend indications based on weighted complete graphs, which are related to topical discussions in the information retrieval and recommendation field.

Readers are sure to find new and valuable information and ideas in their own fields in these excellent articles.

: pp. 212-218
Dynamic Shadow Generation System Based on Shape Recognition
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Yuki Fushio and Mitsunori Matsushita
: pp. 219-226
Visualization of the Internet News Based on Efficient Self-Organizing Map Using Restricted Region Search and Dimensionality Reduction
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Tetsuya Toyota and Hajime Nobuhara
: pp. 227-238
Musical Expression Generation Reflecting User’s Impression by Kansei Space and Fuzzy Rules
Abstract
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Mio Suzuki and Takehisa Onisawa
: pp. 239-246
Comparison of Keywords Freely Inputted by Users and the Compendium of “Keywords for Children,” Which is Programmed into the Book Searching System for Children
Abstract
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Takayuki Kawaura, Jun Endo, and YasukoDoi
: pp. 247-255
Knowledge Expansion Support by Related Search Keyword Generation Based onWikipedia Category and Pointwise Mutual Information
Abstract
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Saori Kawauchi, Tetsuya Toyota, and Hajime Nobuhara
: pp. 256-265
Evaluation of Operetta Songs Generation System Based on Impressions of Story Scenes
Abstract
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Kenkichi Ishizuka and Takehisa Onisawa
: pp. 266-272
A Recommendation System with the Use of Comprehensive Trend Indication Based on Weighted Complete Graph
Abstract
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Takuya Sugimoto, Tetsuya Toyota, and Hajime Nobuhara
: pp. 273-281
Interactive Data Mining Tool for Microarray Data Analysis Using Formal Concept Analysis
Abstract
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Takanari Tanabata, Fumiaki Hirose, Hidenobu Hashikami, and Hajime Nobuhara

Special Issue on Cognitive Infocommunications

: p. 283
Cognitive Infocommunications
Péter Baranyi, Hideki Hashimoto, and Gyula Sallai

Cognitive infocommunications (CogInfoCom), is an emerging interdisciplinary research field that has recently started to appear in the context of theoretical, R&D, and industryoriented projects. CogInfoCom deals with novel approaches to extend the cognitive capabilities of human users through the artificial cognitive capabilities of infocommunications devices, enabling them to interact more flexibly with IT infrastructure.

Two key points must be considered when asking why the emergence of CogInfoCom is not only timely but also necessary.

First of all, the infocommunications industry is experiencing trends that are resulting in the gradual appearance of artificial cognitive capabilities ? capabilities directed towards a broadened scope covering the sensing and processing of unstructured data.

Secondly, future users of infocommunications devices will expect both to be able to access these artificial cognitive capabilities in their everyday activities and to be able to merge them with their own cognitive capabilities. They will thus be able to apply them flexibly ? through their infocommunications devices ? in a wide range of applications in both physical and virtual contexts.

This Special Issue on Cognitive Infocommunications contains extended versions of key ideas presented at CogInfoCom conferences. The table of contents alone will demonstrate to the reader the broad scope of theoretical considerations and practical applications that underlie current and emerging CogInfoCom research.

It is our hope that this Special Issue ? along with the CogInfoCom conference series ? will contribute to providing a scientific forum for researchers from areas related to CogInfoCom and beyond, so that they may be able to develop stronger cooperation and create a more common language in order to produce useful synergies, and in order to fully meet the interdisciplinary challenges that underlie CogInfoCom.

: pp. 284-296
Augmented Reality Aspects of Object Recognition in Driver Support Systems
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Zsombor Paróczi, István Nagy, Csaba Gáspár-Papanek, Zsolt T. Kardkovács, Endre Varga, Ádám Siegler, and Péter Lucz
: pp. 297-304
CogInfoCom Systems from an Interaction Perspective – A Pilot Application for EtoCom –
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Gyorgy Persa, Adam Csapo, and Péter Baranyi
: pp. 305-312
Design of Mutual Interaction Between a User and Smart Electric Wheelchair
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Mihoko Niitsuma, Terumichi Ochi, Masahiro Yamaguchi, and Koki Iwamot
: pp. 313-326
Impacts of Multimodal Feedback on Efficiency of Proactive Information Retrieval from Task-Related HRI
Abstract
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Barbara Gonsior, Christian Landsiedel, Nicole Mirnig, Stefan Sosnowski, Ewald Strasser, Jakub Złotowski, Martin Buss, KoljaKühnlenz, Manfred Tscheligi, Astrid Weiss, and Dirk Wollherr
: pp. 327-334
Optimizing HMM Speech Synthesis for Low-Resource Devices
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Bálint Tóth and Géza Németh
: pp. 335-340
Recognition of Emotions on the Basis of Different Levels of Speech Segments
Abstract
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Klára Vicsi and Dávid Sztahó
: pp. 341-348
Robust Facial Expression Recognition Using Near Infrared Cameras
Abstract
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Laszlo A. Jeni, Hideki Hashimoto, and Takashi Kubota
: pp. 349-357
Spatial Memory for Augmented Personal Working Environments
Abstract
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Young Eun Song, Peter Kovacs, Mihoko Niitsuma, and Hideki Hashimoto
: pp. 358-367
The Spiral Discovery Method: An Interpretable Tuning Model for CogInfoCom Channels
Abstract
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Adam Csapo and Péter Baranyi

No.1

(Jan)

Special Issue on Information Medical Science
Special Issue on New Approach to Intelligent Machines
Special Issue on Aggregation Operators and Clustering

Regular Papers

: pp. 4-12
Information Enhancement on a Focused Object Using Linked Data
Abstract
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Kanako Onishi and Ichiro Kobayashi
: pp. 13-23
Similarity Retrieval of Motion Capture Data Based on Derivative Features
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Worawat Choensawat, Woong Choi, and Kozaburo Hachimura

Special Issue on Information Medical Science

: p. 25
Information Medical Science
Yutaka Hatakeyama

One important and interesting application in computational intelligence technology is medical application. Medical engineering research covers such areas as medical image processing. With most health information now described electronically, hospitals are accumulating large amounts of medical data, including imaging, text, and structured materials. This has made ginformation medical scienceh vastly more important in improving healthcare technology.

This special issue introduces an application based on hospital data, medical care support systems, and medical image processing. The application deals with analytical approaches, navigation systems, medical data management, and text mining for summary data. The support system shows diagnosis and robotassisted therapy. Medical imaging targets X-ray, blood cell, and ultrasonography images.

As guest editors, we can assure the readers that the papers in this special issue have great social impact in this research area and encourage good relations with engineering and medical practice approaches.

We thank the contributors and reviewers for introduce these latest achievements in this exciting field.

: pp. 26-32
Visual Analysis of Health Checkup Data Using Multidimensional Scaling
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Keiko Yamamoto, Satoshi Tamura, Satoru Hayamizu, and Yasutomi Kinosada
: pp. 33-37
Hospital Navi – A New Database for Searching Medical Information –
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Hiroshi Gohma, Mika Asano, Nobuyuki Hamajima, Gen Sobue, and Shin-ichi Sugiura
: pp. 38-41
System Replacement to a New HIS and Data Warehouse
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Masayuki Honda and Takehiro Matsumoto
: pp. 42-47
Ruby Implementation of the OpenEHR Specifications
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Shinji Kobayashi and Akimichi Tatsukawa
: pp. 48-54
Auto-Selection of DPC Codes from Discharge Summaries by Text Mining in Several Hospitals and Analysis of Differences in Discharge Summaries
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Shunsuke Doi, Takahiro Suzuki, Gen Shimada, Mitsuhiro Takasaki, Shinsuke Fujita, Toshiyo Tamura, and Katsuhiko Takabayashi
: pp. 55-61
New Method to Assist Discrimination of Liver Diseases by Spherical SOM with Mahalanobis Distance
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Norie Kanzaki and Akihiro Kanagawa
: pp. 62-68
A Study on Conversational Content Recognition Method Using JapaneseWordNet for Robot-Assisted Therapies
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Yuta Izutsu, Hiroharu Kawanaka, Koji Yamamoto, Kiyoshi Suzuki, Haruhiko Takase, and Shinji Tsuruoka
: pp. 69-75
Discrimination of Pneumoconiosis X-Ray Images Scanned with a CCD Scanner
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Masahide Minami, KojiAbe, and Munehiro Nakamura
: pp. 76-86
Interest-Based Ordering for Fuzzy Morphology on White Blood Cell Image Segmentation
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Chastine Fatichah, Martin Leonard Tangel, Muhammad Rahmat Widyanto, Fangyan Dong, and Kaoru Hirota
: pp. 87-93
Algorithm for Estimation of Thyroid Gland Size in Ultrasonography Images for Extracting Abnormal Thyroid in Medical Practice
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Yutaka Hatakeyama, Hiromi Kataoka, Noriaki Nakajima, Teruaki Watabe, and Yoshiyasu Okuhara

Special Issue on New Approach to Intelligent Machines

: p. 95
New Approach to Intelligent Machines
Hiroshi Takahashi

Six papers on Human Machine Interfaces have been published from a new point of view. As one of the important technologies for developing optimal human machine interaction, communication between humans and machines has attracted much interest. In this special issue, the editor focuses on new methods for communicating mutual information on the characteristics of both human operators and machines, including computers and vehicles. In this communication, readers can operate machines easily and comfortably.

The first article, by Hiroshi Takahashi and Hirohiko Honda, studies the possibility of applying subliminal visual marks for informing drivers of hazardous factors without causing a nuisance in the driver-assistance systems.

The second paper, by Hiroshi Igarashi, proposes subliminal control parameter calibration in interactive human-machine operational environments. Subliminal calibration will enable users to master handling in a short time.

The third paper, by Hiroshi Takahashi and Hirohiko Honda, focuses on computer game operation as influenced by ultrasound exposure. The relationship between ultrasound signals and operator behavior is discussed.

The fourth paper, written by Hirohiko Honda and Kazuko Tobita, concerns the improvement of personal computer operation using auditory signals for visually handicapped persons, who can then identify operational processes through simple sounds.

The fifth contribution, by Hirohiko Honda, involves improving mouse operation with personal computers for those physically challenged who suffer progressive deterioration. The proposed system helps such users maintain quality of life because they are able to continue using a personal computer even as their state of mobility deteriorates.

The closing contribution, by Hiroshi Igarashi, Yoshinobu Adachi, and Kazunari Takahashi, deals with multiagent systems based on human social behavior. Adaptability and the total performance of the authorfs proposed technique are confirmed through a pursuit problem in a multiagent system.

We thank the referees for their reviews and the Fuji Technology Press Ltd. staff for its encouragement and advice.

: pp. 96-107
A Study on the Possibility of Applying Subliminal Visual Cue for Guiding Subject’s Attention
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Hiroshi Takahashi and Hirohiko Honda
: pp. 108-116
Subliminal Calibration for Machine Operation
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Hiroshi Igarashi
: pp. 117-123
A Study on the Change of Operation of Driving Video Game Under Ultrasound Exposure
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Hiroshi Takahashi and Hirohiko Honda
: pp. 124-130
Efficiency Improvement of Information Acquisition in PC Operation with Auditory Signal
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Hirohiko Honda and Kazuko Tobita
: pp. 131-138
Mouse Operation Support for the Physically-Challenged Persons who have Progressive Intractable Diseases
Abstract
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Hirohiko Honda
: pp. 139-146
Adaptive Cooperation for Multi Agent Systems Based on Human Social Behavior
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Hiroshi Igarashi, Yoshinobu Adachi, and Kazunari Takahashi

Special Issue on Aggregation Operators and Clustering

: p. 147
Aggregation Operators and Clustering
Vicenç Torra, Yasuo Narukawa, and Mark Daumas

This issue features decision making and other tools used in artificial intelligence applications. More specifically, the issue includes five papers focused on aggregation operators and clustering.

The series starts with a paper by Yoshida on weighted quasiarithmetic means that focuses on their monotonicity viewed from utility and weighting functions.

In the second paper, Nohmi, Honda and Okazaki focus on trust evaluation for networks, studying matrix operations based on t-norms and t-conorms. The authors also propose fuzzy graphs using adjacent matrices.

These works are followed by three on fuzzy clustering.

Kanzawa, Endo and Miyamoto present a variation of fuzzy c-means based on kernel functions in an approach developed for data with tolerance.

Endo covers clustering using kernel functions. The paper is based on a fuzzy nonmetric model including pairwise constraints in the clustering process.

The concluding paper also uses pairwise constraints, but within agglomerative hierarchical clustering. Hamasuna, Endo and Miyamoto include clusterwise tolerance in their mode.

As the editors of this issue, we would like to thank the referees for their work in the reviews and journal editors-in-chief Profs. Toshio Fukuda and Kaoru Hirota and the journal staff for their support.

: pp. 148-153
Weighted Quasi-Arithmetic Means and the Domain Translations
Abstract
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Yuji Yoshida
: pp. 154-161
A Trust Evaluation of Networks Utilizing Matrix Operations Based on t-norms and t-conorms
Abstract
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Masaya Nohmi, Aoi Honda, and Yoshiaki Okazaki
: pp. 162-168
On Kernel Fuzzy c-Means for Data with Tolerance Using Explicit Mapping for Kernel Data Analysis
Abstract
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Yuchi Kanzawa, Yasunori Endo, and Sadaaki Miyamoto
: pp. 169-173
On Entropy Based Fuzzy Non Metric Model – Proposal, Kernelization and Pairwise Constraints –
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Yasunori Endo
: pp. 174-179
On Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints
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Yukihiro Hamasuna, Yasunori Endo, and Sadaaki Miyamoto

Vol.15 (2011)

No.9

(Nov)

Special Issue on Awareness Computing in Science and Engineering
Selected Papers from NaBIC 2010

Regular Papers

: pp. 1199-1202
WIN Algorithm for Discrete Online TSP
Abstract
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Yonghua Wu, Guohun Zhu, Huaying Chen, and Jucun Qin
: pp. 1203-1210
Enhancing a Fuzzy Failure Mode and Effect Analysis Methodology with an Analogical Reasoning Technique
Abstract
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Tze Ling Jee, Kai Meng Tay, and Chee Khoon Ng
: pp. 1211-1220
Spatiotemporal Analysis of Brain Activity During Understanding Honorific Expressions
Abstract
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Michio Sugeno and Takahiro Yamanoi
: pp. 1221-1227
Evaluating Functional Connectivity in Alcoholics Based on Maximal Weight Matching
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Guohun Zhu, Yan Li, and Peng (Paul) Wen

Special Issue on Awareness Computing in Science and Engineering

: p. 1229
Awareness Computing in Science and Engineering
Cheng-Hsiung Hsieh and Hsien-Chou Liao

As awareness computing attracts increasing attention, this special issue has been arranged for researchers, engineers, and scientists to discuss on awareness computing and to exchange ideas, opinions, and the latest results in this emerging new field.

Awareness is the ability to be conscious of, feel, or perceive ? in other words, to have awareness. It implies vigilance in observing and alertness in drawing inferences from experience. The ultimate goal of awareness computing is to create computing systems that are aware.

The eight papers accepted for this issue come mainly from International Symposium on Aware Computing 2010 and cover different aspects of awareness computing in science and engineering. The authors have been kind enough to revise their papers for this publication.

Two papers focus on awareness learning and multimedia-based learning, three examine localization using sensor networks, sound sources, and radiofrequency identification, and three explore a fuzzy-rules mining algorithm, an interactive map search system, and semi-supervised method for pattern recognition.

We thank the reviewers for their time and effort in reviewing papers within a limited time. We are most grateful to Professor Qiangfu Zhao of the University of Aizu, Japan, and to Professors Toshio Fukuda and Kaoru Hirota, Editors-in-Chief, for inviting us to guest-edit this special issue. We also thank the Fuji Technology Press staff for its ongoing assistance.

: pp. 1230-1240
Document Analysis System Based on Awareness Learning
Abstract
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Jie Ji, Rung-Ching Chen, and Qiangfu Zhao
: pp. 1241-1247
Process of Acquiring Musical Performance Skills for Enhanced “Awareness” Given by a Multimedia-Based Learning Approach
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Katsuko T. Nakahira, Miki Akahane, and Yukiko Fukami
: pp. 1248-1255
An Improvement of Fuzzy Association Rules Mining Algorithm Based on Redundancy of Rules
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Toshihiko Watanabe
: pp. 1256-1261
An Interactive Map Search System Using Wavelet and Shape Contexts
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Jungpil Shin and Hsien-Chou Liao
: pp. 1262-1268
Error-Correcting Semi-Supervised Pattern Recognition with Mode Filter on Graphs
Abstract
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Weiwei Du and Kiichi Urahama
: pp. 1269-1276
Mutual Localization of Multiple Sensor Node Robots
Abstract
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Keitaro Naruse, Shigekazu Fukui, and Jie Luo
: pp. 1277-1286
Spatial Localization of Concurrent Multiple Sound Sources Using Phase Candidate Histogram
Abstract
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Huakang Li, Jie Huang, Minyi Guo, and Qunfei Zhao
: pp. 1287-1298
Using Radio Frequency Identification for Indoor Location Identification Based on Power Level, Signal Strength and Fuzzy Method
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Rung-Ching Chen, Yu-Cheng Lin, Sheng-Ling Huang, and Qiangfu Zhao

Selected Papers from NaBIC 2010

: p. 1299
Selected Papers from NaBIC 2010
Yusuke Nojima and Mario K?ppen

The Second World Congress on Nature and Biologically Inspired Computing (NaBIC2010) was held at the Kitakyushu International Conference Center December 15-17, 2010, in Kitakyushu, Japan. NaBIC2010 provided a forum for researchers, engineers, and students from worldwide to discuss state-of-the-art machine intelligence and to address issues related to building human-friendly machines by learning from nature.

NaBIC2010 covered a wide range of studies ? from theoretical and algorithmic studies on nature and biologically inspired computing techniques to their real-world applications.

Top researchers presenting papers at NaBIC2010 were invited to contribute to this special issue. Through a fair peer review process, four extended papers have been accepted ? an acceptance rate of 50%.

The first paper entitled gA Study on Computational Efficiency and Plasticity in Baldwinian Learningh by Liu and Iba analyzes Baldwinian evolution efficiency by comparing it to alternatives such as standard Darwinian evolution with no learning, Lamarckian evolution, and Baldwinian evolution with different learning and plasticity evolution.

The second paper entitled gExperimental Study of a Structured Differential Evolution with Mixed Strategiesh by Ishimizu and Tagawa proposes island-based DE with ring or torus networks. The authors examine the performance of the proposed DE with the effects of different strategies.

The third paper entitled gMulti-Space Competitive DGA for Model Selection and its Application to Localization of Multiple Signal Sourcesh by Ishikawa, Misawa, Kubota, Tokiwa, Horio, and Yamakawa proposes a distributed genetic algorithm in which each subpopulation searches for a solution in different decision space. Subpopulations change size based on search progress.

The fourth paper entitled gAn Extended Interactive Evolutionary Computation Using Heart Rate Variability as Fitness Value for Composing Music Chord Progressh by Fukumoto, Nakashima, Ogawa, and Imai uses heart-rate variability instead of direct human evaluations in an interactive evolutionary computation framework.

As guest editors of this special issue, we would like to thank the authors for their unique and interesting contributions and the reviewers for their careful checking and invaluable comments.

: pp. 1300-1309
A Study on Computational Efficiency and Plasticity in Baldwinian Learning
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Shu Liu and Hitoshi Iba
: pp. 1310-1319
Experimental Study of a Structured Differential Evolution with Mixed Strategies
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Takashi Ishimizu and Kiyoharu Tagawa
: pp. 1320-1328
Multi-Space Competitive DGA for Model Selection and its Application to Localization of Multiple Signal Sources
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Shudai Ishikawa, Hideaki Misawa, Ryosuke Kubota, Tatsuji Tokiwa, Keiichi Horio, and Takeshi Yamakawa
: pp. 1329-1336
An Extended Interactive Evolutionary Computation Using Heart Rate Variability as Fitness Value for Composing Music Chord Progression
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Makoto Fukumoto, Shuta Nakashima, Shintaro Ogawa, and Jun-ichi Imai

No.8

(Oct)

Special Issue on Cross-Disciplinary Approaches to Embodied Knowledge of Human Skill
Selected Papers from SCIS & ISIS – No.2
Selected Papers from i-SAIRAS 2010

Special Issue on Cross-Disciplinary Approaches to Embodied Knowledge of Human Skill

: p. 941
Cross-Disciplinary Approaches to Embodied Knowledge of Human Skill
Isao Hayashi and Shinichi Furuya

Expertise in sports, music, dance, and craftsmanship is increasingly attracting researchers from many different backgrounds who seek to deepen their understanding of outstanding human skills – a field known as skill science. The goal of skill science is to elucidate neural, cognitive, and computational mechanisms and processes underlying superior sensorimotor functions. To this aim, cross-disciplinary approaches needed include artificial intelligence, computational intelligence, soft computing, robotics, biomechanics, cognitive science, and neuroscience.

This special issue includes a variety of paper focusing on new computational approaces and cutting-edge empirical techniques shedding light on embodied knowledge. Analytical techniques include factorial analysis, such as Principal Component Analysis (PCA) and Singular Vector Decomposition (SVD), correlation networks, machine learning such as cluster analysis, Bayesian statistics, and nonlinear dynamical modeling. Experimental paradigms and techniques include Virtual Reality (VR) environment, comparison between skilled and unskilled individuals and between individuals with and without neurological disorders, and biomechanical and physiological measurement using motion capture, ElectroMyoGraphy (EMG), functional Magnetic Resonance Imaging (fMRI), Transcranial Magnetic Stimulation (TMS), and Auditory Brainstem Response (ABR).

These approaches and techniques have successfully addressed key features of sensorimotor mechanisms behind skilled human behavior. Unique approaches in terms of abduction reasoning and observation learning of robots have quantitatively and qualitatively unraveled cognitive processes in novel skill acquisition.

Findings from these studies provide intriguing insights into developing comprehensive models of embodied knowledge and into practical applications Quantitative evaluation and precise modeling of human skills are, for example, indispensable for developing hardware and software that mimic human functions and for designing robots and Brain-Machine Interfaces (BMI) that enables dexterous human-like behavior. It is of academic and clinical importance to determine mechanisms for acquiring complex sensorimotor skills. These diverse approaches toward a unique goal are expected to build bridges among researchers with vastly different backgrounds, serving as an impetus for boosting this cross-disciplinary research area.

We believe this special issue will serve as a landmark for further developing skill science research.

: pp. 942-953
Neurophysiological and Dynamical Control Principles Underlying Variable and Stereotyped Movement Patterns During Motor Skill Acquisition
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Kazutoshi Kudo, Makoto Miyazaki, Hirofumi Sekiguchi, Hiroshi Kadota, Shinya Fujii, Akito Miura, Michiko Yoshie, and Hiroki Nakata
: pp. 954-961
Abductive Reasoning as an Integrating Framework in Skill Acquisition
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Koichi Furukawa, Toshiki Masuda, and Ikuo Kobayashi
: pp. 962-971
Accuracy of Synchrony Judgment and its Relation to the Auditory Brainstem Response: the Difference Between Pianists and Non-Pianists
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Eriko Aiba, Koji Kazai, Takayuki Shimotomai, Toshie Matsui, Minoru Tsuzaki, and Noriko Nagata
: pp. 972-979
Learning Strategy in Time-to-Contact Estimation of Falling Objects
Abstract
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Hiroyuki Kambara, Keiichi Ohishi, and Yasuharu Koike
: pp. 980-987
Decomposition of Limb Movement Based on Muscular Coordination During Human Running
Abstract
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Taiki Iimura, Keita Inoue, Hang T. T. Pham, Hiroaki Hirai, and Fumio Miyazaki
: pp. 988-996
Network Approach to Inducing Coordinative Structures of Skillful Movements
Abstract
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Masanori Tsujino, Tsutomu Fujinami, and Keisuke Nagai
: pp. 997-1010
A Classification of Postural Sway Patterns During Upright Stance in Healthy Adults and Patients with Parkinson’s Disease
Abstract
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Tomohisa Yamamoto, Yasuyuki Suzuki, Kunihiko Nomura, Taishin Nomura, Takao Tanahashi, Kei Fukada, Takayuki Endo, and Saburo Sakoda
: pp. 1011-1018
Acquisition of Embodied Knowledge on Gesture Motion by Singular Value Decomposition
Abstract
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Isao Hayashi, Yinlai Jiang, and Shuoyu Wang
: pp. 1019-1029
Extraction of Coordinative Structures of Motions by Segmentation Using Singular Spectrum Transformation
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Hiroaki Nakanishi, Sayaka Kanata, Hirofumi Hattori, Tetsuo Sawaragi, and Yukio Horiguchi
: pp. 1030-1038
Kicking Motion Imitation of Inverted-Pendulum Mobile Robot and Development of Body Mapping from Human Demonstrator
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Sataya Takahashi, Yasutake Takahashi, Yoichiro Maeda, and Takayuki Nakamura
: pp. 1039-1048
Analysis of Driver Perceptions and Behavior When Driving in an Unfamiliar Traffic Regulation
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Hidetoshi Nakayasu, Tetsuya Miyoshi, Nobuhiko Kondo, Hirokazu Aoki, and Patrick Patterson

Selected Papers from SCIS & ISIS – No.2

: p. 1049
Selected Papers from SCIS & ISIS 2010 – No.2
Keigo Watanabe, Kazuhiro Ohkura, and Kiyotaka Izumi

This second special issue from the Joint 5th International Conference on Soft Computing and Intelligent Systems and the 11th International Symposium on Advanced Intelligent Systems (SCIS & ISIS) 2010 presents 11 progressive papers covering topics from Fuzzy c-Means, clustering, evolutionary algorithms, and self-organizing maps to optimization, spiral phenomena, matroids, multirobot systems, and reinforcement learning. This wide range of research interests reflects current trends in the SCIS & ISIS conference series. As such, they demonstrate how near-future research interests are gradually moving toward exciting new directions.

We thank the authors and reviewers for taking time out from their busy schedules to make this publication possible. We are especially grateful to Prof. Toshio Fukuda of Nagoya University and to Prof. Kaoru Hirota of the Tokyo Institute of Technology for giving us the opportunity to guest-edit JACIII. Our special thanks go to Ms. Reiko Ohta of Fuji Technology Press Ltd. for her ongoing support in publication.

: pp. 1050-1056
Non-Euclidean Extension of FCMdd-Based Linear Clustering for Relational Data
Abstract
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Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, and Hidetomo Ichihashi
: pp. 1057-1064
KL-Divergence-Based and Manhattan Distance-Based Semisupervised Entropy-Regularized Fuzzy c-Means
Abstract
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Yuchi Kanzawa, Yasunori Endo, and Sadaaki Miyamoto
: pp. 1065-1072
Improving the Robustness of Instance-Based Reinforcement Learning Robots by Metalearning
Abstract
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Toshiyuki Yasuda, Kousuke Araki, and Kazuhiro Ohkura
: pp. 1073-1081
Extraction of Community Transition Rules from Data Streams as Large Graph Sequence
Abstract
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Takehiro Yamaguchi and Ayahiko Niimi
: pp. 1082-1094
A Proposal of Memory and Prediction Based Genetic Algorithm Using Speciation in Dynamic Multimodal Function Optimization
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Takumi Ichimura, Hiroshi Inoue, Akira Hara, Tetsuyuki Takahama, and Kenneth J. Mackin
: pp. 1095-1102
Performance Analysis of Quantum-Inspired Evolutionary Algorithm
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Tomohisa Takata, Teijiro Isokawa, and Nobuyuki Matsui
: pp. 1103-1108
An Approximation Algorithm with Factor Two for a Repetitive Routing Problem of Grasp-and-Delivery Robots
Abstract
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Yoshiyuki Karuno, Hiroshi Nagamochi, and Aleksandar Shurbevski
: pp. 1109-1115
Preservation and Application of Acquired Knowledge Using Instance-Based Reinforcement Learning for Multi-Robot Systems
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Junki Sakanoue, Toshiyuki Yasuda, and Kazuhiro Ohkura
: pp. 1116-1122
Spiral Dynamics Inspired Optimization
Abstract
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Kenichi Tamura and Keiichiro Yasuda
: pp. 1123-1130
Solving the Binding Problem with Separated Extraction of Information by Oscillatory Self-Organizing Maps
Abstract
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Ryota Miyata and Koji Kurata
: pp. 1131-1138
A Proposal of Genetic Operations for BSIM Parameter Extraction Using Real-Coded Genetic Algorithm
Abstract
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Ai Nishiba, Hiroharu Kawanaka, Haruhiko Takase, and Shinji Tsuruoka

Selected Papers from i-SAIRAS 2010

: p. 1139
Selected Papers from i-SAIRAS 2010
Keiki Takadama

This special issue features the selected papers from i-SAIRAS 2010 (The 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space) at Sapporo, Japan on August 29 – September 1, 2010), which explores the technology of Artificial Intelligence (AI), Automation and Robotics, and its application in space. In the AI domain, in particular, i-SAIRAS focuses on the following issues: (1) spacecraft autonomy (e.g., inboard software for mission planning and execution, resource management, fault protection, science data analysis, guidance, navigation and control, smart sensors, testing and validation, architectures); (2) mission operations automation (e.g., decision support tools for mission planning and scheduling, anomaly detection and fault analysis, innovative operations concepts, data visualization, secure commanding and networking); (3) design tools and optimization methods, electronic documentation; and (4) AI methods (e.g., automated planning and scheduling, agents model-based reasoning, machine learning and data mining).

In the selection process for JACIII (Journal of Advanced Computational Intelligence and Intelligent Informatics), 13 papers were firstly nominated from 133 oral presentation papers as outstanding AI-related papers by i-SAIRAS International Committee, and 6 papers were finally accepted through the two-stages of pear-reviews. All papers were reviewed by three reviewers. As the brief introduction of these papers, the paper by Mark Johnston and Mark Giuliano presents an architecture called MUSE (Multi-User Scheduling Environment) to integrate multi-objective evolutionary algorithms with existing domain planning and scheduling tools. The second paper by Amdeo Cesta et al. discusses general lessons learned from a series of deployed planning and scheduling systems. The third paper by Alessandro Donati et al. spotlights specific achievements and trends in the area of spacecraft diagnosis and mission planning and scheduling. The fourth paper by Cedric Cocaud and Takashi Kubota proposes the system that provides position and attitude information to a spacecraft during its approach descent and landing phase toward the surface of an asteroid. The firth paper by Tomohiro Harada et al. studies On-Board Computer which evolves computer programs through the bit inversion and analyzes its robustness to the bit inversion. Finally, the last paper by Masayuki Otani et al. explores the distributed control of the multiple robots which may be broken in the assembly of space solar power satellite. The editor hopes that these papers would help for readers to capture the state-of-art of AI technology in space.

: pp. 1140-1148
Multi-Objective Scheduling for Space Science Missions
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Mark D. Johnston and Mark E. Giuliano
: pp. 1149-1158
Deploying Interactive Mission Planning Tools- Experiences and Lessons Learned –
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Amedeo Cesta, Gabriella Cortellessa, Simone Fratini, Angelo Oddi, and Giulio Bernardi
: pp. 1159-1166
Benefits of Using Innovative Tools for Diagnostics and Planning in ESA Mission Operations
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Alessandro Donati, Jose Antonio Martinez-Heras, and Nicola Policella
: pp. 1167-1174
Development of an Intelligent Simulator with SLAM Functions for Visual Autonomous Landing on Small Celestial Bodies
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Cedric Cocaud and Takashi Kubota
: pp. 1175-1185
Robustness to Bit Inversion in Registers and Acceleration of Program Evolution in On-Board Computer
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Tomohiro Harada, Masayuki Otani, Yoshihiro Ichikawa, Kiyohiko Hattori, Hiroyuki Sato, and Keiki Takadama
: pp. 1186-1196
Improving Recovery Capability of Multiple Robots in Different Scale Structure Assembly
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Masayuki Otani, Kiyohiko Hattori, Hiroyuki Sato, and Keiki Takadama

No.7

(Sep)

Special Issue on Omnipresent Intelligent Computing – New Developments and Societal Impact
Selected Papers from SCIS & ISIS 2010 – No.1

Regular Papers

: pp. 747-758
Enhancing Bidding Strategy Using Genetic Network Programming in Agent-Based Multiple Round English Auction
Abstract
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Chuan Yue, Shingo Mabu, and Kotaro Hirasawa
: pp. 759-766
Adaptive Controller for T-S Fuzzy Model with Modeling Error
Abstract
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Hugang Han
: pp. 767-776
Fuzzy Genetic Network Programming with Noises for Mobile Robot Navigation
Abstract
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Siti Sendari, Shingo Mabu, Andre Tjahjadi, and Kotaro Hirasawa
: pp. 777-784
Concept Finding Proofs
Abstract
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Norihiro Kamide

Special Issue on Omnipresent Intelligent Computing – New Developments and Societal Impact

: p. 785
Omnipresent Intelligent Computing – New Developments and Societal Impact
Alfons Schuster and Daniel Berrar

When the computer revolution began in the second half of the 20th century, few could have foreseen the pervasiveness that intelligent devices would have only half a century later. Today, consumers deal with numerous computing devices providing increasingly sophisticated services. Arguably, no other invention has so profoundly impacted on daily home and work lives as the computer. The downside, however, holds the worrying realization that many artifacts of modern technology now touch on the human sphere to the point of risking an individualfs privacy, security, and well-being.

The new millennium carries the computer revolution to unprecedented levels where new computing paradigms excite researchers beyond the limits of science fiction. The burgeoning field of synthetic biology, for example, has given rise to novel computing approaches based on biomolecular materials. Indeed, silicon is no longer the only substrate for intelligent information processing. Other unconventional approaches such as computing with slime molds, for example, now embrace even living organisms. Information processing and problem solving strategies observed in nature have inspired the design of novelmachine learning algorithms. Seemingly unlimited computer power now enables the in silico simulation of living organisms and the study of evolutionary processes with enormous efficiency. Although many of these novel, nature-inspired approaches are still in their infancy, they might bring a paradigm shift in computational science. How such a technology-driven paradigm shift may affect the gsofth components of our modern complex society is a many-faceted issue that deserves our consideration and exploration.

This special issue focuses on new developments in intelligent computing. A. Schuster and D. Berrar analyze the potentials and risks of current and emerging intelligent computing paradigms. Their article focuses on the interface between humans and intelligent systems and explores potentials and risks emerging for individuals and for the information society at large.

L. Palafox and H. Hashimoto propose a new human activity recognition system that relies on the analysis of five key variables to categorize human activities. A prototypical implementation of the system demonstrates promising results for applications in intelligent room settings.

M. Kimura and M. Sugiyama propose a novel approach to unsupervised clustering, which is based on least squares mutual information. The advantage of this approach is that hyperparameters of clustering algorithms such as kernel parameters no longer need to be manually calibrated, but they can be automatically optimized.

D. Ricinschi and E. Tokumitsu explore new ways of exploiting physical properties of ferroelectric materials. They investigate how the amount of polarization generated by two electrical pulses can be modeled and explained in the framework of game theory.

This special issue informs the research community about exciting new developments in intelligent computing, with an outlook on their societal impacts.

: pp. 786-792
The Omnipresent Computing Menace to Information Society
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Alfons Schuster and Daniel Berrar
: pp. 793-799
4W1H and Particle Swarm Optimization for Human Activity Recognition
Abstract
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Leon Palafox and Hideki Hashimoto
: pp. 800-805
Dependence-Maximization Clustering with Least-Squares Mutual Information
Abstract
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Manabu Kimura and Masashi Sugiyama
: pp. 806-812
Multiagent Strategic Interaction Based on a Game Theoretical Approach to Polarization Reversal in Ferroelectric Capacitors
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Dan Ricinschi and Eisuke Tokumitsu

Selected Papers from SCIS & ISIS 2010 – No.1

: p. 813
Selected Papers from SCIS & ISIS 2010 – No.1
Keigo Watanabe, Kazuhiro Ohkura, and Kiyotaka Izumi

SCIS & ISIS is a biennial international joint conference on soft computing and intelligent systems, with research ranging from fuzzy systems, neural networks, and evolutionary computation to multi-agent systems, artificial intelligence, and robotics.

SCIS & ISIS 2010 consisted of the 5th International Conference on Soft Computing and Intelligent Systems (SCIS) and the 11th International Symposium on Advanced Intelligent Systems (ISIS), held at Okayama Convention Center on December 8-12, 2010. Original presentations numbered 302 and participants 322.

After preliminary selection by SCIS & ISIS 2010 session chairs, we listed over 70 papers to be published in extended form in the Special Issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics. After inviting these authors to submit papers for this special issue, we had two referees to review them and accepted 27 for publication in Vol.15, Nos.7 and 8 in 2011.

This special issue presents 15 of these papers covering most conference topics, including fuzzy theory, learning methods, neural networks, and evolutionary computation, with a focus on reinforcement learning, multi-agent system, nonlinear estimation, and real-world applications to visual system, robotics and energy.

We thank the authors and reviewers for their invaluable contributions toward making this special issue possible. We are also grateful to Editors-in-chief Prof. Toshio Fukuda of Nagoya University and Prof. Kaoru Hirota of the Tokyo Institute of Technology for inviting us to serve as Guest Editors.

: pp. 814-821
Merging with Extraction Method for Transfer Learning in Actor-Critic
Abstract
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Toshiaki Takano, Haruhiko Takase, Hiroharu Kawanaka, and Shinji Tsuruoka
: pp. 822-930
Network Parameter Setting for Reinforcement Learning Approaches Using Neural Networks
Abstract
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Kazuaki Yamada
: pp. 831-837
Adaptive Nutrient Water Supply Control of Plant Factory System by Reinforcement Learning
Abstract
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Takumi Wakahara and Sadayoshi Mikami
: pp. 838-845
“Behavior Composed” for Artificial Flying Creature
Abstract
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Masashi Furukawa, Makoto Morinaga, Ryosuke Ooe, Michiko Watanabe, Ikuo Suzuki, and Masahito Yamamoto
: pp. 846-853
Neuro-PID Control for Electric Vehicle
Abstract
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Shigeru Omatu, Michifumi Yoshioka, and Toru Fujinaka
: pp. 854-859
Nonlinear Active Noise Control via Model-Based Approaches
Abstract
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Sam Chau Duong, Hiroshi Kinjo, and Naoki Oshiro
: pp. 860-868
An Unscented Rauch-Tung-Striebel Smoother for a Vehicle Localization Problem
Abstract
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Saifudin Razali, Keigo Watanabe, Shoichi Maeyama, and Kiyotaka Izumi
: pp. 869-877
Human Pointing Navigation Interface for Mobile Robot with Spherical Vision System
Abstract
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Yasutake Takahashi, Kyohei Yoshida, Fuminori Hibino, and Yoichiro Maeda
: pp. 878-887
Experimental Evaluations of Approaching Hand/Eye-Vergence Visual Servoing
Abstract
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Fujia Yu, Wei Song, Mamoru Minami, Akira Yanou, and Mingcong Deng
: pp. 888-895
A Workmanlike Orthogonal-Type Robot with a Force Input Device
Abstract
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Fusaomi Nagata, Takanori Mizobuchi, Sho Yoshitake, Hitoshi Suzukawa, Hiroto Ishihara, and Keigo Watanabe
: pp. 896-903
Group Behavior Learning in Multi-Agent Systems Based on Social Interaction Among Agents
Abstract
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Kun Zhang, Yoichiro Maeda, and Yasutake Takahashi
: pp. 904-910
Induction of Cooperative Behavior Through Exchange of Nonverbal Information
Abstract
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Yuzo Takahashi
: pp. 911-918
Multi-Agent Transport Simulation Model for Eco-Commuting Promotion Planning
Abstract
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Masashi Okushima and Takamasa Akiyama
: pp. 919-925
Pragmatic Factors Influencing Word Choice: An Examination Based on Corpus and the IR Method
Abstract
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Yu Wang, Wenzhen Shi, and Tetsuhisa Oda
: pp. 926-933
Smart Management of HVDC Interface Flow for Jeju Island System with High Penetration of Wind Energy
Abstract
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Hwachang Song, Dong-Hee Yoon, Gilsoo Jang, and Jang-Ho Lee

No.6

(Aug)

Selected Papers from iFAN 2010

Selected Papers from iFAN 2010

: p. 631
Selected Papers from iFAN 2010
Toshio Fukuda and Yasufumi Takama

The 2010 International Symposium on Intelligent Systems (iFAN2010) was held at Tokyo Metropolitan University, Tokyo, Japan, in September 2010, in conjunction with the 20th anniversary of the 2010 Intelligent System Symposium (FAN2010). These two symposiums provided a fine opportunity for researchers to exchange ideas on basic theories and applications on intelligent systems and iFAN2010 was the first international symposium in the history of the FAN symposium.

From more than 200 papers of FAN2010 and iFAN2010, papers of top quality were invited to this special issue. From 17 papers submitted, 13 outstanding papers have been selected for this special issue after fair and peer review process. As these two symposiums covered a wide variety of intelligence-related issues, this special issue also consists of various topics from basic theories such as machine learning, adaptive control, and optimization, to application-oriented studies such as medical image processing, human support systems, and land mine detection. This issue is expected to contribute much to research on intelligent systems.

As the Editors of this special issue, we thank the contributors and reviewers for their time and cooperation. We look forward to actively participating to the next FAN2011, to be held at Kobe University, Hyogo, Japan, in September 2011, which we hope will be as successful and fruitful as the 2010 symposium.

: pp. 632-638
Adaptive Control Using an Oscillator Network with Capacitive Couplers
Abstract
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Takuro Moriyama and Daisuke Kurabayashi
: pp. 639-651
Optimization of Fuzzy Logic Controller for Trajectory Tracking Using Genetic Algorithm
Abstract
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Pintu Chandra Shill, M. A. H. Akhand, Md. Faijul Amin, and Kazuyuki Murase
: pp. 652-661
Hybrid Ensemble Construction with Selected Neural Networks
Abstract
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M. A. H. Akhand, Pintu Chandra Shill, and Kazuyuki Murase
: pp. 662-670
Feature Extraction with Space Folding Model and its Application to Machine Learning
Abstract
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Minh Tuan Pham, Tomohiro Yoshikawa, Takeshi Furuhashi, and Kanta Tachibana
: pp. 671-680
Ant Colony Optimization for Feature Selection Involving Effective Local Search
Abstract
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Md. Monirul Kabir, Md. Shahjahan, and Kazuyuki Murase
: pp. 681-686
Particle Filter with Gaussian Weighting for Vehicle Tracking
Abstract
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Indah Agustien Siradjuddin and Muhammad Rahmat Widyanto
: pp. 687-697
Content-Based Image Retrieval via Combination of Similarity Measures
Abstract
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Kazushi Okamoto, Fangyan Dong, Shinichi Yoshida, and Kaoru Hirota
: pp. 698-706
Efficient Color Transformations on Quantum Images
Abstract
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Phuc Q. Le, Abdullah M. Iliyasu, Fangyan Dong, and Kaoru Hirota
: pp. 707-713
Detection of Lung Nodules in Thoracic MDCT Images Based on Temporal Changes from Previous and Current Images
Abstract
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Shinya Maeda, Yasuyuki Tomiyama, Hyoungseop Kim, Noriaki Miyake, Yoshinori Itai, Joo Kooi Tan, Seiji Ishikawa, and Akiyoshi Yamamoto
: pp. 714-722
Medical Image Diagnosis of Liver Cancer Using a Neural Network and Artificial Intelligence
Abstract
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Tadashi Kondo, Junji Ueno, and Shoichiro Takao
: pp. 723-730
An Intelligent Human Support System Using Motion Patterns and Environment Information
Abstract
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Yihsin Ho, Kazumasa Murakami, Tomomi Shibano, Eri Sato-Shimokawara, and Toru Yamaguchi
: pp. 731-736
Proposal ofWearable Multiremote Controller Using Head-Tracking
Abstract
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Kohei Miyata, Yuhki Kitazono, Shiyuan Yang, and Seiichi Serikawa
: pp. 737-743
Development of an Automatic Landmine Detection and Marking System for the Demining Robot Gryphon
Abstract
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Alex M. Kaneko and Edwardo F. Fukushima

No.5

(Jul)

Special Issue on Human-Robot Interaction Systems

Regular Papers

: pp. 488-494
Genetic Network Programming-Sarsa with Subroutines for Trading Rules on Stock Markets
Abstract
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Yang Yang, Shingo Mabu, Jianhua Li, and Kotaro Hirasawa
: pp. 495-505
Integrated Rule Mining Based on Fuzzy GNP and Probabilistic Classification for Intrusion Detection
Abstract
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Nannan Lu, Shingo Mabu, and Kotaro Hirasawa
: pp. 506-514
RTM (Robot Technology Middleware) Based Dynamic Interrupt System for Communication Between Humans and Robots
Abstract
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Hai An Vu, Fangyan Dong, and Kaoru Hirota
: pp. 515-524
Multi-Order Rules Extraction by Genetic Network Programming with Rule Accumulation and its Application to Stock Trading Problems
Abstract
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Yafei Xing, Singo Mabu, Lian Yuzhu, and Kotaro Hirasawa
: pp. 525-531
Learning of Obstacle Avoidance with Redundant Manipulator by Hierarchical SOM
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Yuichi Kobayashi and Takahiro Nomura

Special Issue on Human-Robot Interaction Systems

: p. 533
Human-Robot Interaction Systems
Tomomi Hashimoto and Yoshihito Kagawa

Opportunities for human beings and robots to work together are increasing. The objective of this special issuefs ten articles is to activate and expand top-quality research.

In the first, T. Muto and Y. Miyake explore interpersonal cooperative walking replicated for two human beings and the motor-control mechanisms involved.

In the second, Y. Nishikawa, Y. Kagawa, and J. Kurabayashi study control of healthcare equipment and a manipulator using electromyography (EMG) signals.

The third contribution, by T. Hashimoto, Y. Takakura, T. Hamada, T. Akazawa, and M. Yamamoto, details a walking simulator using virtual reality.

The fourth, by Y. Tang, H. A. Vu, P. Q. Le, D. Masano, O. Thet, C. Fatichah, Z. Liu, M. Yamaguchi, M. L. Tangel, F. Dong, Y. Yamazaki, and K. Hirota, proposes casual communication between humans and robots by integrating nonverbal gestures and verbal messages.

Y. Ho, T. Shibano, E. Sato-Shimokawara, and T. Yamaguchi present a system in the fifth article that uses data mining to detect human intent collecting, processing, and analyzing human motion.

In the sixth, K. Rattanyu and M. Mizukawa introduce emotion recognition based on electrocardiography (ECG) signals.

In the seventh article, K. Ogawa, S. Nishio, K. Koda, G. Balistreri, T. Watanabe, and H. Ishiguro discusses two field tests using the Telenoid android.

The eighth contribution, by H. Suzuki and H. Nishi, shows how animal gaits are implemented by quadrupedal robots.

K. Zhang, Y. Maeda, and Y. Takahashi propose multiagent reinforcement learning in the ninth article.

The closing contribution, by B. Piriyanont, N. Uchiyama, and S. Sano, proposes collision avoidance control for a quadrocopter based on the social force model concept.

We thank the referees for their comprehensive reviews and the Fuji Technology Press Ltd. staff for its encouragement and advice.

: pp. 534-544
Dual-Hierarchical Control Mechanism of Interpersonal Embodied Interactions in Cooperative Walking
Abstract
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Takeshi Muto and Yoshihiro Miyake
: pp. 545-553
High Accurate Discrimination Method of Forearm Motions from Surface Electromyogram and its Condition
Abstract
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Yoshio Nishikawa, Yoshihito Kagawa, and Jun Kurabayashi
: pp. 554-562
Development of Foot Gait Simulator for Presenting Environment to Each User
Abstract
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Tomomi Hashimoto, Yasuyuki Takakura, Toshimitsu Hamada, Toshiko Akazawa, and Mitsuru Yamamoto
: pp. 563-572
Multimodal Gesture Recognition for Mascot Robot System Based on Choquet Integral Using Camera and 3D Accelerometers Fusion
Abstract
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Yongkang Tang, Hai An Vu, Phuc Q. Le, Daisuke Masano, OoHan Thet, Chastine Fatichah, Zhentao Liu, Masashi Yamaguchi, Martin Leonard Tangel, Fangyan Dong, Yoichi Yamazaki, and Kaoru Hirota
: pp. 573-581
Data Mining Using Human Motions for Intelligent Systems
Abstract
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Yihsin Ho, Tomomi Shibano, Eri Sato-Shimokawara, and Toru Yamaguchi
: pp. 582-591
Emotion Recognition Based on ECG Signals for Service Robots in the Intelligent Space During Daily Life
Abstract
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Kanlaya Rattanyu and Makoto Mizukawa
: pp. 592-597
Exploring the Natural Reaction of Young and Aged Person with Telenoid in a Real World
Abstract
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Kohei Ogawa, Shuichi Nishio, Kensuke Koda, Giuseppe Balistreri, Tetsuya Watanabe, and Hiroshi Ishiguro
: pp. 598-605
Generation Method of Quadrupedal Gait Based on Human Feeling for Animal Type Robot
Abstract
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Hidekazu Suzuki and Hitoshi Nishi
: pp. 606-616
Cooperative Behavior Learning Based on Social Interaction of State Conversion and Reward Exchange Among Multi-Agents
Abstract
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Kun Zhang, Yoichiro Maeda, and Yasutake Takahashi
: pp. 617-623
Model Reference Control for Collision Avoidance of a Human-Operated Quadrotor Helicopter
Abstract
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Busara Piriyanont, Naoki Uchiyama, and Shigenori Sano

No.4

(Jun)

Selected Papers from ISMEf2010

Selected Papers from ISMEf2010

: p. 399
Selected Papers from ISME’2010
Vladik Kreinovich and Vyacheslav Kalashnikov

The International Society of Management Engineers (ISME), founded in April 2003 to support ME innovation and research, covers methods and techniques related to industrial production and management, in contrast to conventional industrial engineering. Recent examples include innovative research on such topics as

· logistics,

· service,

· supply chain management,

· knowledge management.

These topics, among others, are part of ME. Other important ME areas are mobile business and e-commerce.

The ISME organized its first symposium in 2004, with such symposiums becoming a regular event. This special issue focuses on papers from the seventh International Symposium on Management Engineering ISMEf2010, held on August 26-28, 2010, in Kitakyushu, Japan. It also includes several related papers. ISME’2010 centered on “Management Engineering — Bridging the Gap between Humans and Systems.”

The symposiumfs topics include organization, corporate strategy, project management, technology management, intelligence, computation, operations research, probability and possibility theories, fuzzy sets, rough sets, approximate reasoning, linguistic information processing and automata, knowledge discovery, clustering and data analysis, fuzzy control and modeling, optimization under uncertainty and its applications, games and decision making, fuzzy analysis, and fuzzy games. These topics are reflected in this issue’s contributions.

We thank:

· the authors for their outstanding work,

· ISMEf2010 participants for their helpful suggestions,

· the reviewers for their thorough analysis and constructive help,

· Professor Junzo Watada for his kind suggestions in hosting this issue, and

· the journal staff for their tireless work.

: pp. 400-405
Next Generation Passive Optical Networking Technology Predictions by Using Hybrid MCDM Methods
Abstract
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Chi-Yo Huang, Shih-Yu Chang, Yu-Hsien Yang, and Gwo-Hshiung Tzeng
: pp. 406-417
Using Hybrid MCDM Methods to Assess Fuel Cell Technology for the Next Generation of Hybrid Power Automobiles
Abstract
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Chi-Yo Huang, Yi-Hsuan Hung, and Gwo-Hshiung Tzeng
: pp. 418-424
Product Innovation of Shinzaburo Hanpu and Regional Characteristic of Kyoto
Abstract
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Yusuke Irisawa and Shin’ya Nagasawa
: pp. 425-432
Consistent Conjectural Variations Equilibrium in a Mixed Duopoly
Abstract
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Nataliya I. Kalashnykova, Vladimir A. Bulavsky, Vyacheslav V. Kalashnikov, and Felipe J. Castillo Pérez
: pp. 433-437
Statistical Analysis for Human Preference to Colors
Abstract
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Taki Kanda
: pp. 438-448
Trustees’ and Investors’ Behavior in the First Two Rounds of a Trust Game: Overview and a (Partial) Explanation Based on Cooperative Game Theory
Abstract
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Misha Koshelev
: pp. 449-453
Rough Sets Based Prediction Model of Tick-Wise Price Fluctuations
Abstract
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Yoshiyuki Matsumoto and Junzo Watada
: pp. 454-459
Knowledge Mining for Project Management and Execution
Abstract
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Shinji Mochida
: pp. 460-464
Chanel’s Strategy of Communication Tools and Packaging for its Beauty Products
Abstract
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Shin’ya Nagasawa and Kana Sugimoto
: pp. 465-472
Multi-Attribute Decision Making in Contractor Selection Under Hybrid Uncertainty
Abstract
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Arbaiy Nureize and Junzo Watada
: pp. 473-478
A Hybrid Particle Swarm Optimization Approach and its Application to Solving Portfolio Selection Problems
Abstract
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Shamshul Bahar Yaakob and Junzo Watada
: pp. 479-484
Fuzzy Robust Regression Model by Possibility Maximization
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Yoshiyuki Yabuuchi and Junzo Watada

No.3

(May)

Special Issue on Fuzzy Rule Interpolation
Selected Papers from ISCIIA 2010

Special Issue on Fuzzy Rule Interpolation

: p. 253
Fuzzy Rule Interpolation
Szilveszter Kov?cs

Fuzzy Rule Interpolation (FRI) methods are well known tools for reasoning in case of insufficient knowledge expressed as sparse fuzzy rule-bases. It also provides a simple way to define fuzzy functions. Despite these advantages, FRI techniques are relatively rarely applied in practice.

Enabling sparse fuzzy rule-bases, FRI dramatically simplifies rule-base creation. Regardless of whether the rule-base is generated by a human expert, or automatically from input-output data, the ability to provide reasonable interpolated conclusions even if no rule fires for a given observation, help to concentrate on cardinal actions alone. This reduces the number of rules needed, speeds up parameter optimization and validation steps, and hence simplifies rule-base creation itself.

This special issuefs six papers take six different directions in current FRI research.

The first introduces the FRI concept and sets up a unified criteria and evaluation system. This work collects the main properties an FRI method generally has to fulfill. The next two papers are related to the constantly important mainstream research on the more and more sophisticated FRI methods, the endeavor of finding the best way for defining a fuzzy valued fuzzy function based on data given in the form of the relation of fuzzy sets, i.e., in fuzzy rules. The second paper introduces a novel FRI method that is able to handle fuzzy observations activating multiple rule antecedents applying the concept of nonlinear fuzzy-valued function. The third paper presents a novel ganalogical-basedh FRI method that rather fits into the traditional FRI research line, improving the n-rule-based gscale and move transformationh FRI to ensure continuous approximate functions. The fourth paper addresses the issue of defining a distance function between fuzzy sets on a domain that is not necessarily Euclidean metric space. In FRI, this takes on the importance if antecedent or consequent domains are non-Euclidean metric spaces. The last two papers discuss direct FRI control applications. One is an example proving that the sparse fuzzy rule-base is an efficient knowledge representation in intelligent control solutions. The last deals with the computational efficiency of implemented FRI methods applied to direct control area, clearly showing that the sparse fuzzy rule-base is not only a convenient way for knowledge representation, but also makes FRI methods possible devices for direct embedded control applications.

: pp. 254-263
Fuzzy Rule Interpolation and Extrapolation Techniques: Criteria and Evaluation Guidelines
Abstract
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Domonkos Tikk, Zsolt Csaba Johanyák, Szilveszter Kovács, and Kok Wai Wong
: pp. 264-287
Inference for Nonlinear Mapping with Sparse Fuzzy Rules Based on Multi-Level Interpolation
Abstract
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Kiyohiko Uehara, Shun Sato, and Kaoru Hirota
: pp. 288-298
Generalisation of Scale and Move Transformation-Based Fuzzy Interpolation
Abstract
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Qiang Shen and Longzhi Yang
: pp. 299-303
Compound Distance Function for Similarity Measurement Between Fuzzy Sets
Abstract
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László Kovács
: pp. 304-312
Intelligent Automated Guided Vehicle Controller with Reverse Strategy
Abstract
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Shigeru Kato and Kok Wai Wong
: pp. 313-320
Performance Optimization of the Fuzzy Rule Interpolation Method “FIVE”
Abstract
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Dávid Vincze and Szilveszter Kovács

Selected Papers from ISCIIA 2010

: p. 321
Selected Papers from ISCIIA 2010
Yasufumi Takama

The 4th International Symposium on Computational Intelligence and Industrial Applications (ISCIIA2010), held at the Harbin University of Science and Technology in Heilongjiang Province, China, in August 2010 focused on advanced technologies for computational intelligence and industrial applications. A series of ISCIIA symposiums has provided a unique opportunity for the academic and industrial communities to address new challenges, share new-found solutions, and discuss directions for future research.

Of the ISCIIA2010fs 50 papers, 11 outstanding papers have been selected for this special issue after fair and strict review process. Among this issuefs topics are fuzzy logic,Web mining, Kansei Information Processing (KIP), brain informatics, and human-centered systems. Given the importance of these topics to both the academic and industrial communities, this issue should contribute much to active exchange between both communities.

As the Editor of this special issue, I thank all of the contributors and reviewers for their time and cooperation. Herefs hoping that the next ISCIIA, which is being held in Hokkaido, Japan, in 2012, will be as successful and fruitful as the 2010 symposium has been.

: pp. 322-328
Semantically Enhanced Code Clone Refinement Algorithm Based on Analysis of Multiple Detection Reports
Abstract
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Ricardo Sotolongo, Fangyan Dong, and Kaoru Hirota
: pp. 329-335
A Fuzzy Weights Representation for Inner Dependence AHP
Abstract
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Shin-ichi Ohnishi, Takahiro Yamanoi, and Hideyuki Imai
: pp. 336-344
Fuzzy Nonlinear Regression Analysis Using Fuzzified Neural Networks for Fault Diagnosis of Chemical Plants
Abstract
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Daisaku Kimura, Manabu Nii, Takafumi Yamaguchi, Yutaka Takahashi, and Takayuki Yumoto
: pp. 345-350
Unnormalized Interval Type-2 TSK Fuzzy Logic System Design Based on Convexity and Sample Data
Abstract
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Tiechao Wang and Jianqiang Yi
: pp. 351-356
Adaptive Cruise Control Based on Reinforcement Leaning with Shaping Rewards
Abstract
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Zhaohui Hu and Dongbin Zhao
: pp. 357-361
Spatiotemporal Brain Activity During Hiragana Word Recognition Task
Abstract
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Hisashi Toyoshima, Takahiro Yamanoi, Toshimasa Yamazaki, and Shin-ichi Ohnishi
: pp. 362-369
Cerebral Contour Extraction with Particle Method in Neonatal MR Images
Abstract
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Syoji Kobashi, Daisuke Yokomichi, Yuki Wakata, Kumiko Ando, Reiichi Ishikura, Kei Kuramoto, Shozo Hirota, and Yutaka Hata
: pp. 370-376
Toward New Practical Education Based on Professional Kansei
Abstract
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Koji Murai, Yuji Hayashi, Kei Kuramoto, Takayuki Fujita, Kazusuke Maenaka, Kohei Higuchi, and Tsunemasa Saiki
: pp. 377-382
Finding Communities Using User Preference in Web Structure Mining
Abstract
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Takeshi Yoshikawa and Hidetoshi Nonaka
: pp. 383-388
Autonomous Environmental Sensing System for Human Activity Monitoring
Abstract
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Takayuki Fujita, Jun Okada, Sayaka Okochi, Kohei Higuchi, and Kazusuke Maenaka
: pp. 389-395
Information Presentation Support of Car Robotics Simulator System Based on Humatronics
Abstract
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Cheng Chang, Gen Ohbayashi, Toru Yamaguchi, and Eri Sato-Shimokawara

No.2

(Mar)

Special Issue on New Trends in Agent-Based Simulation

Regular Papers

: pp. 125-133
A Similarity Rough Set Model for Document Representation and Document Clustering
Abstract
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Nguyen Chi Thanh, Koichi Yamada, and Muneyuki Unehara
: pp. 134-144
Mean Local Trend Error and Fuzzy-Inference-Based Multicriteria Evaluation for Supply Chain Demand Forecasting
Abstract
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Jingpei Dan, Fuding Xie, Fangyan Dong, and Kaoru Hirota
: pp. 145-155
A Proposal of Stock Price Predictor Using Associated Memory
Abstract
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Shigeki Nagaya, Zhang Chenli, and Osamu Hasegawa
: pp. 156-163
Integrated Decision-Making System for Robot Soccer
Abstract
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Ján Vaščák and Kaoru Hirota

Special Issue on New Trends in Agent-Based Simulation

: p. 165
New Trends in Agent-Based Simulation
Keiki Takadama and Kiyoshi Izumi

Agent-Based Simulation (ABS), an interdisciplinary area embracing both the computer science and the social science, has attracted much attention and aided the understanding of socially complex phenomena. A current important issue in this research area is how to improve ABS effectiveness and comprehension, which makes further mutual influence between the computer science and the social sciences indispensable – e.g., (1) agent modeling involving learning mechanisms in the computer science and (2) social dynamics analysis needed in the social science. Such integration of these two areas would help fulfill the great potential of ABS, first in solving complex engineering problems using agent-based technology and second in developing and testing new theories on socially complex systems.

This special issue features ABS papers from both of these important areas exploring new trends in ABS. The 10 papers composing this special issue start with papers by Nobutada Fujii and Hiroyasu Inoue analyzing the relationship between the network structure and system dynamics. In these papers, an agent-based computational economics approach has been active in applying agent-based technologies to financial and economic systems. Papers by Biliana Alexandrova-Kabadjova, Isamu Okada, TomokoOhi, and Nariaki Nishino cover consumer and financial markets using agent-based models. They test economic theory and examine market phenomena for market design. Agent-based simulation is increasingly used in application fields in the social sciences. Papers by Kiyoshi Izumi, Hideki Fujii, Hiromitsu Hattori, and Shigeo Sagai propose solutions for actual social problems such as injury prevention, traffic, and electrical power. Models are created based on behavior data, and the integration of an agent-based model and real data is a hot topic in this area.

As the beginning of these technical papers, this issue starts by a position paper to give an ABS overview for understanding important issues in ABS from an overall viewpoint and for understanding state-of-the-art ABS. The information presented is invaluable in helping readers grasp the important features of ABS.

: pp. 166-172
Social and Group Simulation Based on Real Data Analysis
Abstract
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Kiyoshi Izumi, Keiki Takadama, Hiromitsu Hattori, Nariaki Nishino, and Itsuki Noda
: pp. 173-179
Agent-Based Simulation of Product Diffusion with Network Externality in a Heterogeneous Consumer Network
Abstract
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Nobutada Fujii, Toshiya Kaihara, and Takashi Eda
: pp. 180-187
Analyses of Compound Structures of Groups that Produce Intellectual Property
Abstract
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Hiroyasu Inoue
: pp. 188-196
Competition is Bad for Consumers: Analysis of an Artificial Payment Card Market
Abstract
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Biliana Alexandrova-Kabadjova, Edward Tsang, and Andreas Krause
: pp. 198-203
Effects of Information Diffusion in OnlineWord-of-Mouth Communication Among Consumers
Abstract
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Isamu Okada and Hitoshi Yamamoto
: pp. 204-211
Simulation of Futures and Spot Markets by Using an Agent-Based Multi-Market Model
Abstract
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Tomoko Ohi, Yasuhiro Hashimoto, Yu Chen, and Hirotada Ohashi
: pp. 212-219
Bounded Rationality on Consumer Purchase Decisions and Product Diffusion Under Network Externalities: A Study Using Agent-Based Simulation and Experiments with Human Subjects
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Nariaki Nishino, Sobei H. Oda, and Kanji Ueda
: pp. 220-225
Risk Evaluation by Human Trajectory Simulation Based on Real Data
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Kiyoshi Izumi, Yoshifumi Nishida, and Yoichi Motomura
: pp. 226-232
Virtual Social Experiment of Tram Railway Extension Using Multi-Agent-Based Traffic Simulator
Abstract
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Hideki Fujii, Takafumi Sakurai, and Shinobu Yoshimura
: pp. 233-239
Massive Multiagent-Based Urban Traffic Simulation with Fine-Grained Behavior Models
Abstract
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Hiromitsu Hattori, Yuu Nakajima, and Shohei Yamane
: pp. 240-248
Analyzing the Emergency Restoration Processes of an Electric Power Distribution Network by a Multi-Agent Simulator
Abstract
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Shigeo Sagai, Toshikatsu Mori, and Takao Terano

No.1

(Jan)

Special Issue on Modeling Decisions for Artificial Intelligence

Regular Papers

: pp. 3-12
No Time Limit and Time Limit Model of Multiple Round Dutch Auction Based on Genetic Network Programming
Abstract
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Shingo Mabu, Donggeng Yu, Chuan Yue, and Kotaro Hirasawa
: pp. 13-20
Efficient Optimization Using Experimental Queries: A Peak-Search Algorithm for Efficient Load-Pull Measurements
Abstract
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Charles Baylis, Lawrence Dunleavy, Steven Lardizabal, Robert J. Marks II, and Alberto Rodriguez
: pp. 21-33
Predictor Using an Error-Convergence Neuron Network and its Application to Electrocardiograms
Abstract
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Shunsuke Kobayakawa and Hirokazu Yokoi
: pp. 34-40
Common Testbed Generating Tool Based on XML for Multiple Interdependent Issues Negotiation Problems
Abstract
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Katsuhide Fujita, Takayuki Ito, and Mark Klein
: pp. 41-54
A Fuzzy Multiobjective Particle Swarm Optimized TS Fuzzy Logic Congestion Controller for Wireless Local Area Networks
Abstract
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Clement N. Nyirenda, Dawoud S. Dawoud, Fangyan Dong, Michael Negnevitsky, and Kaoru Hirota

Special Issue on Modeling Decisions for Artificial Intelligence

: p. 55
Modeling Decisions for Artificial Intelligence
Vicenç Torra, Yasuo Narukawa, and Masahiro Inuiguchi

The 6th International Conference on Modeling Decisions for Artificial Intelligence (MDAI) was held at Awaji Island, Japan, from November 30 to December 2, 2009 and was the inspiration for this special issue.

The nine selected papers concern soft computing tool applications.

The first, by Yoshida, studies the risk analysis of portfolios under uncertainty and gives expressions showing explicit relationships among parameters in a portfolio.

The second, by Entani, proposes an efficiency-interval-based measure based on interval data envelopment analysis.

The third, by Hamasuna, Endo, and Miyamoto, concerns clustering for data with tolerance and proposes algorithms for this type of data.

The fourth, by Endo, Hasegawa, Hamasuna, and Kanzawa, focuses on fuzzy c-means clustering for uncertain data using quadratic regularization.

The fifth, by Honda, Notsu, and Ichihashi, also involves clustering, focusing on variable selection/weighting in PCA-guided k-means.

The sixth, by Hwang and Miyamoto, covers clustering focusing on kernel fuzzy c-means and some interesting new results.

The seventh, by Kanzawa, Endo, and Miyamoto, uses fuzzy c-means in semisupervised fuzzy c-means.

The eighth, by Kudo and Murai, is devoted to rough sets, proposing a heuristic algorithm for calculating a relative reduct candidate.

The closing contribution, by Kusunoki and Inuiguchi, is also devoted to rough sets, with the authors studying rough set models in information tables with missing values.

We thank the referees for their review work, and the Fuji Technology Press Ltd. staff for its encouragement and advice.

: pp. 56-62
Risk Analysis of Portfolios Under Uncertainty: Minimizing Average Rates of Falling
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Yuji Yoshida
: pp. 63-67
Ranking of DMUs Based on Efficiency Intervals
Abstract
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Tomoe Entani
: pp. 68-75
Fuzzy c-Means Clustering for Data with Clusterwise Tolerance Based on L2– and L1-Regularization
Abstract
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Yukihiro Hamasuna, Yasunori Endo, and Sadaaki Miyamoto
: pp. 76-82
Fuzzy c-Means Clustering for Uncertain Data Using Quadratic Penalty-Vector Regularization
Abstract
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Yasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna, and Yuchi Kanzawa
: pp. 83-89
Variable Weighting in PCA-Guided k-Means and its Connection with Information Summarization
Abstract
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Katsuhiro Honda, Akira Notsu, and Hidetomo Ichihashi
: pp. 90-94
Kernel Functions Derived from Fuzzy Clustering and Their Application to Kernel Fuzzy c-Means
Abstract
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Jeongsik Hwang and Sadaaki Miyamoto
: pp. 95-101
Semi-Supervised Fuzzy c-Means Algorithm by Revising Dissimilarity Between Data
Abstract
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Yuchi Kanzawa, Yasunori Endo, and Sadaaki Miyamoto
: pp. 102-109
Heuristic Algorithm for Attribute Reduction Based on Classification Ability by Condition Attributes
Abstract
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Yasuo Kudo and Tetsuya Murai
: pp. 110-116
Variable Precision Rough Set Model in Information Tables with Missing Values
Abstract
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Yoshifumi Kusunoki and Masahiro Inuiguchi

Vol.14 (2010)

No.7

(Nov)

Special Issue on Human Symbiotic System

Regular Papers

: pp. 751-755
A Dual-Axis Liquid-Rate Microgyroscope Using Electro-Conjugate Fluid
Abstract
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Shinichi Yokota, Yoshitsugu Ogawa, Kenjiro Takemura, and Kazuya Edamura

Special Issue on Human Symbiotic System

: p. 757
Human Symbiotic System
Yoichiro Maeda and Daisuke Katagami

With opportunities for human beings to coexist with artificial agents and autonomous robots are increasing, high-level interactive communication between them is increasingly needed. These human symbiotic systems are used for research on basic intelligent interaction design principles and methods and bidirectional communication based on effective collaboration and symbiosis between human beings and robots, agents, and computers, also known as artifacts.

The research society on gHuman Symbiotic System (HSS)h was implemented by the Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT) in 2007. The HSS encourages academic and industrial discussion of research on Human-Agent Interaction (HAI), Human-Robot Interaction (HRI), and Human-Computer Interaction (HCI).

The objective of this special issue is to activate and expand top-quality research of HSS theory and applications. Reflecting the fact that this research covers a wide range of topics, we invited researchers from fields including intelligent robotics, human-machine interfaces, and Kansei engineering to contribute. This issue thus provides much of the latest practical research on HSS, introduced by core members of the research society.

Of the 22 papers received, 14 were accepted after input from two reviewers each. The first paper, by Y. Tamura et al., presents an attentive deskwork support system that delivers required items objects to deskworkers. The second, by H. Masuta et al., discusses an integrated perceptual system for intelligent service robots. The third, by S. Akiguchi, develops an automatic pattern generation system based on user impression. The fourth, by Y. Jiang et al., deals with a novel interface recognizing directional user intent based on forearm pressure exerted by the user of an omnidirectional walker.

The fifth paper, by K. Terabayashi et al., investigates effects of preoperation on the experience of hands of different sizes by classifying preoperations based on the hand/object relationship. The sixth, by Y. Tamura et al., proposes segmenting a performerfs body imitating behavior observed based on a system from which values are obtained by reinforcement learning. The seventh, by D. Katagami et al., discusses group-adaptive behavior based on utterance contents and social standing of a robot. The eighth, by H. Yamaguchi et al., presents a system for using discounted utterances in spontaneous conversations applying text-mining technology.

The ninth paper, by A. Otaki et al., focuses on the development of human negotiation skill through interaction between human players and computer agents in bargaining games. The tenth, by D. Katagami et al., is also related to human negotiation skill implementing human gestures in negotiation scenarios for three negotiation agents. The eleventh, by R. Taki et al., realizes interactive emotion communication – bidirectional communication based on emotional behavior between human beings and robots. The twelfth, by J. Ichino et al., investigates the psychological effects of color on online documents through a proposed online document interface.

The thirteenth paper, by T. Ando et al., studies the robot facial effectiveness in human interpretation. The fourteenth, by T. Ando et al., models robot self-sufficiency applying an urge system focusing on autonomous emotion.

This issue has addressed the importance of HSS and highlighted innovative approaches to the development of artificial system more friendly to users. We thank the authors and referees for their ongoing efforts, without which this issue would not have been possible.

: pp. 758-769
Attentive Deskwork Support System
Abstract
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Yusuke Tamura, Masao Sugi, Tamio Arai, and Jun Ota
: pp. 770-775
An Integrated Perceptual System of Different Perceptual Elements for an Intelligent Robot
Abstract
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Hiroyuki Masuta and Naoyuki Kubota
: pp. 776-783
Development of Automatic Pattern Generation System Based on User Impressions
Abstract
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Shunsuke Akiguchi
: pp. 784-792
Directional Intention Identification for Running Control of an Omnidirectional Walker
Abstract
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Yinlai Jiang, Shuoyu Wang, Kenji Ishida, Takeshi Ando, and Masakatsu G. Fujie
: pp. 793-801
Role of Pre-Operation in Experiencing Differently Sized Hands
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Kenji Terabayashi, Natsuki Miyata, Kazunori Umeda, and Jun Ota
: pp. 802-812
Observed Body Clustering for Imitation Based on Value System
Abstract
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Yoshihiro Tamura, Yasutake Takahashi, and Minoru Asada
: pp. 813-824
Robot Group Adaptation Gestures Based on Utterance Content and Social Position
Abstract
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Daisuke Katagami, Ken Ogawa, and Katsumi Nitta
: pp. 825-830
A Method for Using Discounted Utterances in Spontaneous Conversation
Abstract
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Hiroki Yamaguchi, Yukio Ohsawa, and Yoko Nishihara
: pp. 831-839
Toward Strategic Human Skill Development Through Human and Agent Interaction: Improving Negotiation Skill by Interacting with Bargaining Agent
Abstract
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Atsushi Otaki, Kiyohiko Hattori, and Keiki Takadama
: pp. 840-851
Behavior Generation and Evaluation of Negotiation Agent Based on Negotiation Dialogue Instances
Abstract
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Daisuke Katagami, Yusuke Ikeda, and Katsumi Nitta
: pp. 852-859
Personal Preference Analysis for Emotional Behavior Response of Autonomous Robot in Interactive Emotion Communication
Abstract
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Ryohei Taki, Yoichiro Maeda, and Yasutake Takahashi
: pp. 860-868
Psychological Effects of Color in Overview+Detail Document Interface
Abstract
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Junko Ichino, Kazuhiro Takeuchi, and Hitoshi Isahara
: pp. 869-876
Relationship Between Mechadroid Type C3 and Human Beings Based on Physiognomic Features
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Teruaki Ando, Atsushi Araki, Masayoshi Kanoh, Yutaro Tomoto, and Tsuyoshi Nakamura
: pp. 877-884
Psychological Effects of a Self-Sufficiency Model Based on Urge System
Abstract
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Teruaki Ando and Masayoshi Kanoh

No.6

(Sep)

Special Issue on Advances in Computational Intelligence, Learning and Their Applications
Special Issue on AISAT 2009 - Selected Papers

Regular Papers

: pp. 567-573
Guaranteed Cost Output Feedback Control of Fuzzy Systems via LMI Approach
Abstract
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Shusaku Nishikawa and Jun Yoneyama
: pp. 574-580
Task Allocation in Multistate Systems
Abstract
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Tsuyoshi Mizuguchi, Ken Sugawara, and Toshiya Kazama
: pp. 581-592
Inference Based on α-Cut and Generalized Mean in Representing Fuzzy-Valued Functions
Abstract
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Kiyohiko Uehara, Takumi Koyama, and Kaoru Hirota
: pp. 593-605
An Online Incremental Semi-Supervised Learning Method
Abstract
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Furao Shen, Hui Yu, Youki Kamiya, and Osamu Hasegawa
: pp. 606-615
Interactive Learning of Verbal Descriptors Meanings for Face Drawing System
Abstract
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Hafida Benhidour and Takehisa Onisawa

Special Issue on Advances in Computational Intelligence, Learning and Their Applications

: p. 617
Advances in Computational Intelligence, Learning and Their Applications
Goutam Chakraborty and Yong Liu

Algorithms based on Computational Intelligence (CI) and algorithms for learning, attracted a large community of researchers in the last four decades or more. In the beginning, such algorithms were motivated to realize human intelligence in machines. They were to explore novelties in research rather than to implement them for products or services. By the end of the 1990s, CI already had a strong theoretical basis. By then, advanced hardware technologies, cheap chip design, miniaturization and reduced power requirement for hardware, encouraged intelligent algorithm applications to proliferate in real products. This trend is growing, and will continue for long in future.

When this special issue was proposed for publication, we were almost certain that submissions on applications would outnumber those on new algorithms on CI or learning per se – and we were right!

The September 2009 Intelligent System Symposium, FAN2009 – the nineteenth in the series – organized at the University of Aizu in Japan, attracted over 100 submissions. Reviewers were asked to comment on the suitability of individual submissions for consideration for this journal issue. We personally checked all recommended submissions, finally settling on just 12 for publication. Authors were asked to expand on their work. Each paper, submitted for this special issue, was further judged by 3 reviewers. Finally, 3 papers were rejected and 9 accepted.

Of the 9 selected, the first deals with Optimization Algorithms. The remaining 8 are on applications. The second and the third papers are on document clustering and recommendation. The fourth and the fifth cover applications on image recognition – posture estimation of human body, and object segmentation using stereo images. The remaining four papers are applications of CI in different ways. The sixth is on similarity computation using collaborative filtering, the seventh deals with interesting stock-market investor behavior, and the eighth on collecting environmental information from wireless ZigBee sensor networks for use in indoor positioning systems. The final paper is an engineering application of CI, tracker for photovoltaic systems using online learning neural networks. All papers selected are interesting and novel in their application areas and approaches. We expect this issue to encourage young researchers to apply CI to novel problems.

We thank the authors for submitting their work and the reviewers for their selfless service. We also thank Reiko Ohta of Fuji Technology Press for her unflagging aid in making this issue a success.

: pp. 618-623
Basic Study on Assembling of Objective Functions in Many-Objective Optimization Problems
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Shun Otake, Tomohiro Yoshikawa, and Takeshi Furuhashi
: pp. 624-630
Applying Naive Bayes Classifier to Document Clustering
Abstract
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Jie Ji and Qiangfu Zhao
: pp. 631-637
Recommendation System Using Weighted TF-IDF and Naive Bayes Classifiers on RSS Contents
Abstract
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Incheon Paik and Hiroshi Mizugai
: pp. 638-644
Posture Estimation of Human Body Based on Connection Relations of 3D Ellipsoidal Models
Abstract
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Mitsuhiro Hayase and Susumu Shimada
: pp. 645-653
Spatial Object Segmentation Using Stereo Images
Abstract
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Yong Hao, Lifeng He, Tsuyoshi Nakamura, Yuyan Chao, and Hidenori Itoh
: pp. 654-660
Similarity Computation Method for Collaborative Filtering Based on Optimization
Abstract
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Akihiro Yamashita, Hidenori Kawamura, and Keiji Suzuki
: pp. 661-668
Effect of Overconfident Investor Behavior to Stock Market
Abstract
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Ryota Inaishi, Kaoru Toya, Fei Zhai, and Eisuke Kita
: pp. 669-676
An Indoor Positioning System Based on Probabilistic Model with ZigBee Sensor Networks
Abstract
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Junpei Tsuji, Hidenori Kawamura, Keiji Suzuki, Takeshi Ikeda, Akio Sashima, and Koichi Kurumatani
: pp. 677-682
High-Speed Maximum Power Point Tracker for Photovoltaic Systems Using Online Learning Neural Networks
Abstract
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Yasushi Kohata, Koichiro Yamauchi, and Masahito Kurihara

Special Issue on AISAT 2009 - Selected Papers

: p. 683
AISAT 2009 – Selected Papers
Michael Negnevitsky

Artificial Intelligence (AI) is the key to success in novel applications ranging from robotics to speech- and image-recognition systems, and from stock forecast investment systems to informal communication between robots and humans. The last two decades have seen AIfs focus shift from philosophical arguments to practical applications in both science and technology. AI researchers and educators have simultaneously recognized mutual commonality in their work and have initiated much-needed multidisciplinary approaches to AI.

Guest Editor, Michael Negnevitsky, organized the 3rd International Workshop on Artificial Intelligence in Science and Technology (AISAT 2009) in Hobart, Tasmania, Australia last year, bringing together a globally diverse group of scientists and engineers to discuss issues related to practical AI applications in science and technology. The workshop featured presentations from the US, Japan, Malaysia, Spain, Kuwait, and Australia. All papers were peer reviewed by two experts for technical content, contribution, and originality to ensure high presentation quality. Fewer than 30% of submissions were accepted for presentation at the Workshop.

Authors of the most outstanding presentations at AISAT 2009 were encouraged to submit manuscripts to this special issue, whose papers present innovative approaches and promising practical applications for AI. Submissions were reviewed for relevance, originality, significance, and presentation based on JACIII review criteria.

We are sure that readers will find these papers both interesting and inspiring. We hope also that they will motivate researchers to expand their studies on AI applications in science and technology.

: pp. 684-699
Linguistic Geometry: The Age of Maturity
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Boris Stilman, Vladimir Yakhnis, and Oleg Umanskiy
: pp. 700-707
How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Collaboration and Education: Lessons from a Case Study
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Paulo Pinheiro da Silva, Aaron Velasco, Olga Kosheleva, and Vladik Kreinovich
: pp. 708-713
Intelligent Intrusion Detection Based on Genetically Tuned Artificial Neural Networks
Abstract
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Leon Reznik, Michael J. Adams, and Bryan Woodard
: pp. 714-721
FPGA-Based Relative Distance Estimation for Indoor Robot Control Using Monocular Digital Camera
Abstract
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Ying-Hao Yu, Chau Vo-Ky, Sarath Kodagoda, and Quang Phuc Ha
: pp. 722-728
An Artificial Intelligence Approach to Develop a Time-Series Prediction Model of the Arc Furnace Resistance
Abstract
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Abu Mohammad Osman Haruni and Michael Negnevitsky
: pp. 729-734
An Analysis of Group Recommendation Strategies
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Shlomo Berkovsky and Jill Freyne
: pp. 735-745
Implementation of Neural Network Models for Parameter Estimation of a PEM-Electrolyzer
Abstract
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Steffen Becker and Vishy Karri
: pp. 741-745
Conversation System with State Information
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Elyse Marie Glina and Byeong-Ho Kang

No.5

(Jul)

Special Issue on Software Engineering for Web Intelligence
Special Issue on ISIS 2009, Dong-A University, Busan, Korea

Regular Papers

: pp. 425-430
A Tool for Visualizing the Behavior of Fuzzy Constraint Satisfaction Solvers
Abstract
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Takuto Yanagida, Masahito Kurihara, and Hidetoshi Nonaka
: pp. 431-441
Effective Cycle Time: A Real World Balancing Index for Paced Assembly Lines
Abstract
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Konstantinos N. Genikomsakis and Vassilios D. Tourassis
: pp. 442-452
A Novel Taxi Dispatch System Integrating a Multi-Customer Strategy and Genetic Network Programming
Abstract
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QingBiao Meng, Shingo Mabu, Lu Yu, and Kotaro Hirasawa
: pp. 453-463
A Model for Generating Facial Expressions Using Virtual Emotion Based on Simple Recurrent Network
Abstract
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Yuki Matsui, Masayoshi Kanoh, Shohei Kato, Tsuyoshi Nakamura, and Hidenori Itoh
: pp. 464-474
Evolving Asset Portfolios by Genetic Relation Algorithm
Abstract
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Victor Parque, Shingo Mabu, and Kotaro Hirasawa
: pp. 475-486
The Search for a Search: Measuring the Information Cost of Higher Level Search
Abstract
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William A. Dembski and Robert J. Marks II
: pp. 487-496
A Double-Deck Elevator Systems Controller with Idle Cage Assignment Algorithm Using Genetic Network Programming
Abstract
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Shingo Mabu, Lu Yu, Jin Zhou, Shinji Eto, and Kotaro Hirasawa
: pp. 497-509
Genetic Network Programming with Estimation of Distribution Algorithms for Class Association Rule Mining in Traffic Prediction
Abstract
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Xianneng Li, Shingo Mabu, Huiyu Zhou, Kaoru Shimada, and Kotaro Hirasawa

Special Issue on Software Engineering for Web Intelligence

: p. 511
Software Engineering for Web Intelligence
Jonathan Lee and Jong Yih Kuo

Software engineering, in applying engineering to software, advocates the application of systematic, disciplined, quantifiable approaches to development, operation, and maintenance of software. Software engineering is also considered a transformational process that models the real world on a corresponding software world. Recent advances in software engineering applied to Web intelligence have been recognized as a wave in scientific research and development, exploring basic roles and practical impact of advanced information technology on next-generation Web-empowered products, systems, and services. Various web systems and services currently provide many benefits to users, with Web intelligence becoming increasingly important in research and business. Such Web intelligent systems have been realized through related technologies as software engineering, interactive machine learning, etc.

This special issue brings together researchers who have inspired software engineering in Web intelligence. Submissions have been reviewed for relevance, originality, significance, and presentation based on JACIII review criteria. This special issue presents four papers describing outstanding studies on project management, service-oriented architecture, semantic Web technologies, and service composition planning in Web intelligence. All papers introduce promising approaches and interesting results that readers will find highly relevant!

We believe that software engineering in Web Intelligence has tremendous potential as a new, active research field, and we hope this issue will motivate researchers to expand their own studies on software engineering in Web Intelligence.

: pp. 512-522
Integrating Process and Work Breakdown Structure with Design Structure Matrix
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Jonathan Lee, Whan-Yo Deng, Wen-Tin Lee, Shin-Jie Lee, Kuo-Hsun Hsu, and Shang-Pin Ma
: pp. 523-530
A BPEL-Based Fault-Handling Architecture for Telecom Operation Support Systems
Abstract
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Ing-Yi Chen, Guo-Kai Ni, Cheng-Hwa Kuo, and Chau-Young Lin
: pp. 531-539
A Signal-Representation-Based Parser to Extract Text-Based Information from the Web
Abstract
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Mu-Chun Su, Shao-Jui Wang, Chen-Ko Huang, Pa-ChunWang, Fu-Hau Hsu, Shih-Chieh Lin, and Yi-Zeng Hsieh
: pp. 540-548
Using Planning and Case-Based Reasoning for Service Composition
Abstract
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Chiung-Hon Leon Lee, Alan Liu, and Huan-Hsian Huang

Special Issue on ISIS 2009, Dong-A University, Busan, Korea

: p. 549
ISIS 2009, Dong-A University, Busan, Korea
John-Tark Lee and Gyei Kark Park

The 10th International Symposium on Advanced Intelligent Systems 2009 (ISIS2009) held on August 17-19, 2009, at the Bumin Campus of Dong-A University (http://www.donga.ac.kr/) in Busan, Korea, was sponsored by the Korean Institute of Intelligent System Society (KIIS) and cosponsored technically by the Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT) and the Taiwanese Association for Artificial Intelligence (TAAI).

The international symposium focused on state-of-art accomplishments, innovations, and potential directions in intelligent systems. It also marked an epoch of innovation and the dissemination of research into many interesting fields. Its broad theme covered the latest in technical fields, including artificial intelligence, intelligent systems, Ambient Intelligence (AmI), bioinformatics, information technology, and their wide-ranging applications, from basic theoretical work to practical engineering applications. The 80 featured papers were presented by 120 participants.

With so many papers submitted to JACIII, this special issue consists of just two strictly selected papers. The first, deals with emerging research trends in robotics, proposing a new trajectory generation using the univariate Dynamic Encoding Algorithm for Searches (uDEAS) in the turning of a biped walking robot. The second paper, presenting the latest findings in AmI, details a newly designed and implemented robust capacitive sensor with parasitic parameter modeling over a range of high 200 KHz frequencies based on an Unscented Kalman Filter (UKF) algorithm.

I would like to thank Mr. Kunihiko Uchida, Mr. Shinya Wakai, Ms. Reiko Ohta, and Mr. Shinji Isokawa as editorial staff of Fuji Technology Press for editing these complex manuscripts into their final form. And I really thank to Prof. Kaoru Hirota, Editor-in-Chief of JACIII for inviting me to direct this special issue on ISIS

: pp. 550-554
A New Trajectory Generation Scheme for Direction Turning in Biped Walking
Abstract
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Man-Seok Kim, Jo-Hwan Kim, Min-Goo Choi, and Jong-Wook Kim
: pp. 555-561
Implementation of Passive Telemetry RF Sensor System Using Unscented Kalman Filter Algorithm
Abstract
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John-Tark Lee, Kyung-Yeop Kim, and Su-Ho Lee

No.4

(May)

Selected Papers from IWI 2009

Regular Papers

: pp. 325-343
An Extension Approach for Neural Networks by Introducing a Nearest Neighbor Algorithm in Relative Coordinates
Abstract
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Hirofumi Suzaki and Satoru Kuhara
: pp. 344-352
Neural Network Implementation of Image Rendering via Self-Calibration
Abstract
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Yi Ding, Yuji Iwahori, Tsuyoshi Nakamura, Lifeng He, Robert J. Woodham, and Hidenori Itoh
: pp. 353-363
Enhancing the Largest Set Rule for Assembly Line Balancing Through the Concept of Bi-Directional Work Relatedness
Abstract
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Konstantinos N. Genikomsakis and Vassilios D. Tourassis
: pp. 364-374
SN Ratio Estimation and Speech Segment Detection of Extracted Signals Through Independent Component Analysis
Abstract
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Takeshi Koya, Nobuo Iwasaki, Takaaki Ishibashi, Go Hirano, Hiroshi Shiratsuchi, and Hiromu Gotanda
: pp. 375-381
Color Quantization Based on Hierarchical Frequency Sensitive Competitive Learning
Abstract
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Jun Zhang and Jinglu Hu

Selected Papers from IWI 2009

: p. 383
Selected Papers from IWI 2009
Seiji Yamada, Tsuyoshi Murata, and Yasufumi Takama

Various Web systems and services currently provide a great deal of benefits to users, with Web interaction becoming increasingly important in research and business. Such Web interaction has been realized through related technologies as interaction design, interactive information retrieval, interactive intelligent systems, personalization, user interfaces and interactive machine learning. However, each study and development in such different fields has been done independently, which might discourage us from studying Web interaction from an unified view of human-system interaction and making Web interaction more intelligent by applying AI and computational intelligence.

Guest Editors (Seiji Yamada, Tsuyoshi Murata, and Yasufumi Takama) organized an Intelligent Web Interaction Workshop 2009 (IWIf09) in Milano, Italy, last year to bring together researchers in diversified fields including Web systems, AI, computational intelligence, humancomputer interaction and user interfaces. Held jointly with 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI-2009), IWIf09 produced 14 outstanding papers – an acceptance rate of 50%, and active discussions among speakers and participants. A subsequent workshop Intelligent Web Interaction Workshop 2010 (IWIf10) will be held in Toronto, Canada in this September.

This special issue presents intelligent Web interaction as a new and promising research field. Speakers selected from among those at IWIf09 were encouraged to submit papers for this issue. The submissions were then reviewed for relevance, originality, significance and presentation based on JACIII review criteria. This special issue consists of five papers which describe excellent studies on Web interface, Web systems, Web credibility, constrained clustering for interactive Web application and graph analysis on the Web. The acceptance rate was 56%. All papers introduce promising approaches and interesting results that readers will find inspiring.

We strongly believe intelligent Web interaction has tremendous potential as a new, active field of research, and we hope this issue will motivate researchers to expand studies on intelligent Web interaction.

: pp. 384-389
Natural Language Questions and Answers for RDF Information Resources
Abstract
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Chie Akita, Motohiro Mase, and Yasuhiko Kitamura
: pp. 390-395
Web-Based Intelligent Photograph Management System Enhancing Browsing Experience
Abstract
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Yuki Orii, Takayuki Nozawa, and Toshiyuki Kondo
: pp. 396-401
Extraction of Web Site Evaluation Criteria and Automatic Evaluation
Abstract
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Peng Li and Seiji Yamada
: pp. 402-407
Learning Similarity Matrix from Constraints of Relational Neighbors
Abstract
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Masayuki Okabe and Seiji Yamada
: pp. 408-415
An Efficient Algorithm for Optimizing Bipartite Modularity in Bipartite Networks
Abstract
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Xin Liu and Tsuyoshi Murata

No.3

(Apr)

Selected Papers from IWACIII 2009

Selected Papers from IWACIII 2009

: p. 239
Selected Papers from IWACIII 2009
Yutaka Hatakeyama, Kazuhiko Kawamoto, and Fangyan Dong

The International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII), honoring Prof. Kaoru Hirota on his 60th birthday, was held at the Tokyo Institute of Technology in November 2009. The workshop featured 8 invited talks and 30 papers published in IWACIII 2009 proceedings.

This special JACIII issue features 10 papers from these proceedings, dealing with data mining, robotics, fuzzy systems, signal and image processing, and industrial applications. A paper by Prof. Koczy was chosen as the best paper of this workshop.

This workshop is chaired by Professor Toshihiro Kaino, Professor Yasufumi Takama, and Professor Hajime Nobuhara. The workshop is sponsored by Fuji Technology Press Co., Ltd., Suzhou KTI Semiconductor Manufacturing Machine Co., Ltd., R&D Center of VEST, Mycom, Inc., Computing, Designing, and Integration Co., Ltd., Japan Association of Service Science (JASS), TOKYO TECH Pursuing Excellence, Hirota Laboratory, Tokyo Institute of Technology.

As guest editor of this special issue, we thank all of the contributors and referees for their fine work and candid reviews.

The second IWACIII will be held in 2011 in Suzhou, China. We invite you to submit your research papers and to plan to take participate in IWACIII 2011.

: pp. 240-246
Adaptive Anytime Data Transmission of Non-Stationary Signals
Abstract
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Annamária R. Várkonyi-Kóczy
: pp. 247-255
Various Defuzzification Methods on DNA Similarity Matching Using Fuzzy Inference System
Abstract
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M. Rahmat Widyanto, Nurtami Soedarsono, Norihiro Katayama, and Mitsuyuki Nakao
: pp. 256-271
Suppression Effect of α-Cut Based Inference on Consequence Deviations
Abstract
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Kiyohiko Uehara, Takumi Koyama, and Kaoru Hirota
: pp. 272-280
Real Time Color Object Tracking on Cell Broadband Engine Using Particle Filters
Abstract
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Norikazu Ikoma and Akihiro Asahara
: pp. 281-287
Intelligent Powered Wheelchair Assistance in Daily Use
Abstract
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Atsuhiro Nakamura, Yasunari Fujimoto, Osamu Nitta, and Toru Yamaguchi
: pp. 288-296
Automatic Generation of Musical Tone Row and Rhythm Based on the Twelve-Tone Technique Using Genetic Algorithm
Abstract
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Yoichiro Maeda and Yusuke Kajihara
: pp. 297-302
Data Cleaning for Classification Using Misclassification Analysis
Abstract
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Piyasak Jeatrakul, Kok Wai Wong, and Chun Che Fung
: pp. 303-308
Interactive Data Mining for Large-Scale Image Databases Based on Formal Concept Analysis
Abstract
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Takanari Tanabata, Kazuhito Sawase, Hajime Nobuhara, and Barnabas Bede
: pp. 309-315
Human Behavior Measurement Based on Sensor Network and Robot Partners
Abstract
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Naoyuki Kubota, Takenori Obo, and Honghai Liu
: pp. 316-322
Investigation on Robot User Interface for Information Access
Abstract
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Yasufumi Takama and Hiroki Namba

No.2

(Mar)

Special Issue on Advances on Intelligent Multimedia Processing

Special Issue on Advances on Intelligent Multimedia Processing

: p. 121
Advances on Intelligent Multimedia Processing
Kazuhiko Kawamoto

As computer and sensor technology advances make increasing amounts of multimedia data available, multimedia processing methodologies are needed for multimodal data fusion, efficient data processing, information extraction, and added-value data generation.

This special issue introduces the following latest practical developments in image processing, acoustical signal processing, pattern recognition, data mining, and visualization:

S. Kobashi et al. propose a robust algorithm for reconstructing total knee arthroplasty implants from X-ray cone-beam images. Y. Hatakeyama et al. propose an algorithm for classifying ultrasonic abdominal images with the help of reports in text format. T. Miyazaki et al. analyze breathy and rough speech by the elderly. M. Nii et al. present a genetic algorithm for classifying nursing-care text. These papers provide useful insights into medical diagnosis and nursing care in the aging society coming to dominate 21st century.

T. Toyota et al. visualize Japanese law networks based on granular computing. K. Sawase et al. present a management system for large databases of tagged images. These graphical user interface techniques will be helpful to those who are not computer experts.

H. Kawano et al. propose a classification algorithm for segmenting range data into multiple quadric surfaces. Y. Arai et al. propose a nearest-neighbor method for personal authentication. H. Kawano et al. present an algorithm for extracting the structure of decorative characters based on graph spectral decomposition. These classification and discriminant algorithms provide a basis for multimedia data processing.

G. Tanaka et al. propose a color transfer algorithm. H. Orii et al. present an image completion algorithm. G. Tanaka et al. present an image enhancement algorithm to noisy images. M. Mizumachi et al. propose a stochastic algorithm for estimating sound source direction. These image and acoustical processing algorithms improve the quality of digital data and will provide new applications in these areas.

We thank the authors and referees whose invaluable work and kind comments have made this special issue possible and improved overall paper quality.

: pp. 122-127
Fuzzy Visual Hull Algorithm for Three-Dimensional Shape Reconstruction of TKA Implants from X-Ray Cone-Beam Images
Abstract
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Syoji Kobashi, Nao Shibanuma, and Yutaka Hata
: pp. 128-134
A Classification Algorithm of Abdominal Ultrasound Images in Medical Practice for Secondary Uses
Abstract
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Yutaka Hatakeyama, Hiromi Kataoka, Noriaki Nakajima, Teruaki Watabe, and Yoshiyasu Okuhara
: pp. 135-141
Acoustic Analysis of Breathy and Rough Voice Characterizing Elderly Speech
Abstract
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Takeshi Miyazaki, Mitsunori Mizumachi, and Katsuyuki Niyada
: pp. 142-149
Improving Classification Performance of Nursing-Care Text Classification System by Using GA-Based Term Selection
Abstract
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Manabu Nii, Takafumi Yamaguchi, Yutaka Takahashi, Atsuko Uchinuno, and Reiko Sakashita
: pp. 150-154
Analysis and Visualization of Japanese Law Networks Based on Granular Computing -Visual Law: Visualization System of Japanese Law-
Abstract
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Tetsuya Toyota and Hajime Nobuhara
: pp. 155-159
Management System for Tagged Image Databases Using Lattice Structures
Abstract
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Kazuhito Sawase and Hajime Nobuhara
: pp. 160-166
Fuzzy-Clustering-Based Discriminant Method of Multiple Quadric Surfaces for Noisy and Sparse Range Data
Abstract
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Hideaki Kawano, Hiroshi Maeda, and Norikazu Ikoma
: pp. 167-178
Fuzzy few-Nearest Neighbor Method with a Few Samples for Personal Authentication
Abstract
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Yoshinori Arai, Nguyen Thi Huong Lien, Kazuma Ishigaki, Hiroyuki Satoh, Teruhiko Hayashi, Fangyan Dong, and Kaoru Hirota
: pp. 179-184
Structure Extraction from Decorated Characters by Graph Spectral Decomposition and Component Selection Criterion
Abstract
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Hideaki Kawano, Akito Shimamura, Hiroshi Maeda, Hideaki Orii, and Norikazu Ikoma
: pp. 185-192
Color Transfer Based on Normalized Cumulative Hue Histograms
Abstract
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Go Tanaka, Noriaki Suetake, and Eiji Uchino
: pp. 193-199
Image Completion Considering Local Orientations of Rotated Patterns
Abstract
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Hideaki Orii, Hideaki Kawano, Hiroshi Maeda, and Norikazu Ikoma
: pp. 200-207
Image Enhancement Based on Nonlinear Smoothing and Sharpening for Noisy Images
Abstract
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Go Tanaka, Noriaki Suetake, and Eiji Uchino
: pp. 208-213
Robust Estimation of Sound Source Direction with Deterministic Background Noise and Stochastic Source Dynamics Models
Abstract
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Mitsunori Mizumachi and Katsuyuki Niyada

Regular Papers

: pp. 215-223
An Evolutionary Negotiation Model Using Genetic Network Programming
Abstract
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Md. Tofazzal Hossain, Shingo Mabu, and Kotaro Hirasawa
: pp. 224-236
Replacement of Lyapunov Function by Locally Convergent Robust Fixed Point Transformations in Model-Based Control a Brief Summary
Abstract
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József K. Tar

No.1

(Jan)

Selected Papers from HNICEM 2009

Selected Papers from HNICEM 2009

: p. 3
Selected Papers from HNICEM 2009
Elmer P. Dadios

The Fourth International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) was held in Traders-Shangrila Hotel, Manila, Philippines from March 12 to 15, 2009. The theme of this conference was Convergence of Cutting Edge Technologies for Global Enterprise. As has been done from the previous HNICEM conferences, cutting edge papers presented in this conference were reviewed and selected for JACIII special issue publication. In this special issue, 8 articles were selected that will provide valuable references for researchers and practitioners.

The first article presents a commanding and visualization software suite for Mars rovers and other planetary robots. This paper focuses on the support for the Phoenix Mars Lander, Mars Science Lander and other lunar and planetary missions conducted by NASA. The second article discusses an auction-based consensus mechanism for cooperative targets tracking using minimum numbers of mobile sensors in order to reduce energy consumption due to sensor mobilization. The third article is on concept of neighborhood degree and its application to switching plural optimization methods in scheduling. The fourth article covers human behavior classification using thinning algorithm and support vector machine.

The fifth article is about fuzzy relevant feedback in image retrieval for color feature using query vector modification method. An experimental identification of manipulator dynamics through the minimization of its natural oscillations is presented in the sixth article. This work utilizes the actual force of gravity for the manipulator link to achieve natural oscillation. The oscillatory motion allows the system to be converted into an optimization problem through the minimization of the frequency of oscillation. On the other hand, the seventh article is an integrated eco-design tool for Malaysian automobile industry. The eighth and final article presents Omni-directional Vision for Navigation of a Mobile Robot.

We extend our warmest thanks and deepest gratitude to the distinguished authors who have contributed to this special issue for their outstanding contributions and to the reviewers for their assistance and cooperation. We are also grateful to Prof. Toshio Fukuda and Prof. Kaoru Hirota, Editors-in-Chief of JACIII, and to the HNICEM International Advisory Board for their continued support to all HNICEM International Conferences.

Come March 2011, the 5th HNICEM International Conference will be held in Manila, Philippines. We express our deepest gratitude to the IEEE Philippines Section for its continuing sponsorship. To JACIII, thank you for the support. Outstanding papers presented in this conference will be selected for publication in a special issue of JACIII.

We invite you to submit your research papers and to participate in HNICEM 2011. For further information, please visit

http://www.dlsu.edu.ph/conferences/hnicem/.

: pp. 4-12
A Commanding and Visualization Software Suite for Controlling the Mars Rovers and Other Planetary Robots
Abstract
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Frank R. Hartman, Brian Cooper, Scott Maxwell, John Wright, and Jeng Yen
: pp. 13-20
Auction-Based Consensus Mechanism for Cooperative Tracking in Multi-Sensor Surveillance Systems
Abstract
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Ahmed M. Elmogy, Fakhreddine O. Karray, and Alaa M. Khamis
: pp. 21-27
Concept of Neighborhood Degree and its Application to Switching Plural Optimization Methods in Scheduling
Abstract
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Fangyan Dong, Kewei Chen, and Kaoru Hirota
: pp. 28-33
Human Behavior Classification Using Thinning Algorithm and Support Vector Machine
Abstract
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M. Rahmat Widyanto, Sukmawati Nur Endah, and Kaoru Hirota
: pp. 34-38
Fuzzy Relevance Feedback in Image Retrieval for Color Feature Using Query Vector Modification Method
Abstract
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M. Rahmat Widyanto and Tatik Maftukhah
: pp. 39-45
Experimental Identification of Manipulator Dynamics Through the Minimization of its Natural Oscillations
Abstract
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Rodrigo S. Jamisola, Jr. and Elmer P. Dadios
: pp. 46-54
Integrated Eco-Design Tool for Malaysian Automobile Industry
Abstract
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Julirose Gonzales, Novita Sakundarini, Raja Ariffin, and Zahari bin Taha
: pp. 55-62
Omnidirectional Vision for Mobile Robot Navigation
Abstract
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Zahari Taha, Jouh Yeong Chew, and Hwa Jen Yap

Regular Papers

: pp. 63-68
Pyramidal Structure Algorithm for Fingerprint Classification Based on Artificial Neural Networks
Abstract
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Eugène C. Ezin
: pp. 69-75
Neural Network Ensemble-Based Solar Power Generation Short-Term Forecasting
Abstract
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Aymen Chaouachi, Rashad M. Kamel, and Ken Nagasaka
: pp. 76-88
Inference Based on α-Cut and Generalized Mean with Fuzzy Tautological Rules
Abstract
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Kiyohiko Uehara, Takumi Koyama, and Kaoru Hirota
: pp. 89-98
A Method for Accelerating the HITS Algorithm
Abstract
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Andri Mirzal and Masashi Furukawa
: pp. 99-109
Relative Magnitude of Gaussian Curvature via Self-Calibration
Abstract
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Yi Ding, Yuji Iwahori, Takashi Nakagawa, Tsuyoshi Nakamura, Lifeng He, Robert J. Woodham, and Hidenori Itoh
: pp. 110-118
Concurrent Societies Based on Genetic Algorithm and Particle Swarm Optimization
Abstract
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Hrvoje Markovic, Fangyan Dong, and Kaoru Hirota

Vol.13 (2009)

No.6

(Nov)

Special Issue on New Trends in Reinforcement Learning

Special Issue on New Trends in Reinforcement Learning

: p. 599
New Trends in Reinforcement Learning
Kazuteru Miyazaki and Keiki Takadama

Recently, the tailor-made system that grants an individual request has been recognized as the important approach. Such a system requires the ggoal-directed learningh through interaction between user and system, which is mainly addressed in greinforcement learningh domain.

This special issue on gNew Trends in Reinforcement Learningh called for papers on the cuttingedge research exploring the goal-directed learning, which represents reinforcement learning. Many contributions were forthcoming, but we finally selected 12 works for publication. Although greinforcement learningh is included in the title of this special issue, the research works do not necessarily have to be on reinforcement learning itself, so long as the theme coincides with that of this special issue. In making our final selections, we gave special consideration to the kinds of research which can actively lead to new trends in reinforcement learning.

Of the 12 papers in this special issue, the first four mainly deal with the expansion of the reinforcement learning method in single agent environments. These cover a broad range of research, from works based on dynamic programming to exploitation-oriented methods.

The next two works deal with the Learning Classifier System (LCS), which applies the rule discovery mechanism to reinforcement learning. LCS is a technique with a long history, but for this issue, we were able to publish two theoretical works.

We are also grateful to Prof. Toshio Fukuda, Nagoya University, and Prof. Kaoru Hirota, Tokyo Institute of Technology, the editors-in-chief, and the NASTEC 2008 conference staff for inviting us to guest-edit this Journal.

The next four papers mainly deal with multi agent environments. We were able to draw from a wide range of research: from measuring interaction, through the expansion of techniques incorporating simultaneous learning, to research leading to application in multi agent environments.

The last two contributions mainly deal with application. We publish one paper on exemplar generalization and another detailing the successful application to government bond trading.

Each of these researches can be considered to be at the cutting-edge of reinforcement learning. We would like to end by saying that we hope this special issue constitutes a large contribution to the development of the field while holding a wide international appeal.

: pp. 600-607
Eligibility Propagation to Speed up Time Hopping for Reinforcement Learning
Abstract
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Petar S. Kormushev, Kohei Nomoto, Fangyan Dong, and Kaoru Hirota
: pp. 608-614
Construction of Semi-Markov Decision Process Models of Continuous State Space Environments Using Growing Cell Structures and Multiagent k-Certainty Exploration Method
Abstract
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Takeshi Tateyama, Seiichi Kawata, and Yoshiki Shimomura
: pp. 615-623
About Profit Sharing Considering Infatuate Actions
Abstract
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Wataru Uemura
: pp. 624-630
Exploitation-Oriented Learning PS-r#
Abstract
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Kazuteru Miyazaki and Shigenobu Kobayashi
: pp. 631-639
Analyzing Strength-Based Classifier System from Reinforcement Learning Perspective
Abstract
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Atsushi Wada and Keiki Takadama
: pp. 640-648
Is Gradient Descent Update Consistent with Accuracy-Based Learning Classifier System?
Abstract
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Atsushi Wada and Keiki Takadama
: pp. 649-657
Information Theoretic Approach for Measuring Interaction in Multiagent Domain
Abstract
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Sachiyo Arai and Yoshihisa Ishigaki
: pp. 658-666
Multiple-Timescale PIA for Model-Based Reinforcement Learning
Abstract
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Tomohiro Yamaguchi and Eri Imatani
: pp. 667-674
Time Horizon Generalization in Reinforcement Learning: Generalizing Multiple Q-Tables in Q-Learning Agents
Abstract
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Yasuyo Hatcho, Kiyohiko Hattori, and Keiki Takadama
: pp. 675-682
A New Improved Penalty Avoiding Rational Policy Making Algorithm for Keepaway with Continuous State Spaces
Abstract
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Takuji Watanabe, Kazuteru Miyazaki, and Hiroaki Kobayashi
: pp. 683-690
Exemplar Generalization in Reinforcement Learning: Improving Performance with Fewer Exemplars
Abstract
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Hiroyasu Matsushima, Kiyohiko Hattori, and Keiki Takadama
: pp. 691-696
Acquiring a Government Bond Trading Strategy Using Reinforcement Learning
Abstract
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Tohgoroh Matsui, Takashi Goto, and Kiyoshi Izumi

Regular Papers

: pp. 697-703
Capacity Expansion Problem by Monte Carlo Sampling Method
Abstract
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Takayuki Shiina
: pp. 704-712
Global Optimal Routing Algorithm for Traffic Systems with Multiple ODs
Abstract
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Yu Wang, Shingo Mabu, Shinji Eto, and Kotaro Hirasawa
: pp. 713-725
Traffic Flow Prediction with Genetic Network Programming (GNP)
Abstract
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Huiyu Zhou, Shingo Mabu, Wei Wei, Kaoru Shimada, and Kotaro Hirasawa
: pp. 726-730
Learning and Technical Market -Effects of In-Sample Data Selection-
Abstract
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Tomio Kurokawa
: pp. 731-737
Product-Impression Analysis Using Fuzzy C4.5 Decision Tree
Abstract
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Masataka Tokumaru and Noriaki Muranaka

No.5

(Sep)

Special Issue on Soft Computing for Modeling and Simulation

Special Issue on Soft Computing for Modeling and Simulation

: p. 511
Soft Computing for Modeling and Simulation
Mokhtar Beldjehem, Lotfi A. Zadeh, Ronald Yager and Madan Gupta

Welcome to this special issue on Soft Computing for Modeling and Simulation of the Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII). We are pleased to introduce 5 selected papers and 4 regular papers presented at NASTEC (North-American Simulation Technology Conference), which is a series of conferences initiated by Eurosis after in-depth discussions with Prof. Mokhtar Beldjehem and North-American Simulationists, Soft Computing Scientists, addressing issues regarding the interplays and synergies between Modeling, Simulation and Soft Computing. The first NASTEC 2008 was organized at Mc Gill University, Montréal, Canada, which is its birth place. It has attracted Simulationists, researchers and practitioners of Soft Computing, attendees from academic, industry and government agencies in an exchange of ideas and shared experiences.

The intent of the NASTEC’2008 event is to nurture the spirit of cooperation and strive to improve the quality of life in this global village through excellence in hybrid Soft Computing research and education by engineering of next-generation intelligent hybrid Soft Computing systems for Modeling, Simulation, Simulation-based and Data-driven Software Engineering, Web-centric Computing, E-learning and Virtual Reality Systems at the service and for the benefits of the humankind.

Computer Simulation is being acknowledged as the “third leg” of scientific discovery and analysis, along with theory and experimentation. Simulation Technology aims at building the “software digital factory.” The fields of Modeling, Simulation, and Soft Computing in general have made significant progress; parts of them were reflected in the present Special issue. This issue was able to attract top-level and forefront research. The themes center on novel issues in connection with Modeling, Simulation, Soft Computing, Simulation-based Software Engineering, Web-centric Computing, Virtual Reality Systems, their interplays and synergies.

We are grateful to a number of people without whom we would not have been able to put this special issue together. They include our NASTEC’08 IPC and JACIII reviewers for making this special issue possible; they have done an excellent job: We got 4.5 reviews per paper on the average. We are grateful to authors of selected papers who have considered JACIII as the target for their work, and even though we could not accommodate every submission in this issue, we hope that the reviews will be helpful to many people.

We are also grateful to Prof. Toshio Fukuda, Nagoya University, and Prof. Kaoru Hirota, Tokyo Institute of Technology, the editors-in-chief, and the NASTEC 2008 conference staff for inviting us to guest-edit this Journal.

Last, but not least, we are indebted to the staff of JACIII and Fuji Technology Press for making this a reality.

: pp. 512-519
A Granular Framework for Recognition of Arabic Handwriting
Abstract
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Mokhtar Beldjehem
: pp. 520-528
A Granular Unified Min-Max Fuzzy-Neuro Framework for Learning Fuzzy Systems
Abstract
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Mokhtar Beldjehem
: pp. 529-536
Modelling Numerical and Spatial Uncertainty in GrayscaleImage Capture Using Fuzzy Set Theory
Abstract
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Mike Nachtegae, Peter Sussner, Tom Mélange, and Etienne E. Kerre
: pp. 537-541
Bias of Standard Errors in Latent Class Model Applications Using Newton-Raphson and EM Algorithms
Abstract
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Liberato Camilleri
: pp. 542-549
Comparison of Traditional 2D and Virtual Patterns Design in 3D
Abstract
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Agnieszka Cichocka and Pascal Bruniaux

Regular Papers

: pp. 551-560
Genetic Network Programming with Rule Accumulation and its Application to Tile-World Problem
Abstract
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Lutao Wang, Shingo Mabu, Fengming Ye, Shinji Eto, Xuefeng Fan, and Kotaro Hirasawa
: pp. 561-572
Combination of Two Evolutionary Methods for Mining Association Rules in Large and Dense Databases
Abstract
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Eloy Gonzales, Karla Taboada, Shingo Mabu, Kaoru Shimada, and Kotaro Hirasawa
: pp. 573-580
Object Categorization Using Biologically Inspired Nodemaps and the HITEC Categorization System
Abstract
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Adam Csapo, Barna Resko, Domonkos Tikk, and Peter Baranyi
: pp. 581-591
Q Value-Based Dynamic Programming with Boltzmann Distribution for Global Optimal Traffic Routing Strategy
Abstract
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Shanqing Yu, Shingo Mabu, Fengming Ye, Hongqiang Wang, Kaoru Shimada, and Kotaro Hirasawa

No.4

(Jul)

Selected Papers from SCIS & ISIS 2008 No.2

Selected Papers from SCIS & ISIS 2008 No.2

: p. 351
Selected Papers from SCIS & ISIS 2008 No.2
Masayoshi Kanoh

Welcome to the second special issue on selected papers from SCIS & ISIS 2008, a joint conference combining the 4th Soft Computing and Intelligent Systems (SCIS) and the 9th International Symposium on advances Intelligent Systems (ISIS) held at Nagoya University, Japan, in September 2008.

Three earlier conferences were held in: the National Institute of Advanced Industrial Science and Technology (AIST), Japan (2002); Keio University, Japan (2004); and Tokyo Institute of Technology, Japan (2006).

Conference topics include fuzzy logic, clustering, evolutionary computation, machine learning, rough sets, man-machine interaction/interfaces, neural networks, computer vision, image processing, cognitive modeling, computational intelligence, etc.

Papers of interest containing novel algorithms and ideas in these fields have been selected, so I hope you will enjoy this issue.

I would like to thank the many people who have produced these special issues for SCIS & ISIS2008, and all of the authors and reviewers. Without your help, this issue would not have been possible.

: pp. 352-359
An Application of Rough Set Analysis toa Psycho-Physiological Study – Assessing the RelationBetween Psychological Scale and Immunological Biomarker
Abstract
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Shusaku Nomura and Yasuo Kudo
: pp. 360-365
Clustering Based on Multiple Criteria for LVQ and K-Means Algorithm
Abstract
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Fujiki Morii and Kazuko Kurahashi
: pp. 366-372
Effect on EEGs When Listening to Harmony
Abstract
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Ryosuke Yamanishi, Shohei Kato, Tsutomu Kunitachi, and Hidenori Itoh
: pp. 373-379
Multiobjective Random Fuzzy Linear Programming Problems Based on the Possibility Maximization Model
Abstract
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Takashi Hasuike, Hideki Katagiri, and Hiroaki Ishii
: pp. 380-385
Proposal of a Method to Extract Arbitrary FiguresUsing One-Dimensional Histograms
Abstract
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Shota Nakashima, Makoto Miyauchi, and Seiichi Serikawa
: pp. 386-392
Social Effects of Robot Therapy in a Care House
– Change of Social Network of the Residents for One Year –
Abstract
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Kazuyoshi Wada and Takanori Shibata
: pp. 393-399
A 3D Pseudo-Reconstruction from Single ImageBased on Vanishing Point
Abstract
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Jingjing Wang, Fangyan Dong, Takashi Takegami, Eiroku Go, and Kaoru Hirota
: pp. 400-406
Averaging Forest for Online Vision
Abstract
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Hassab Elgawi Osman
: pp. 407-415
Human Resource Selection Based on Performance ClassificationUsingWeighted Support Vector Machine
Abstract
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Qiangwei Wang, Boyang Li, and Jinglu Hu
: pp. 416-420
Kernel Canonical Discriminant Analysis Based on Variable Selection
Abstract
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Seiichi Ikeda and Yoshiharu Sato
: pp. 421-428
On Tolerant Fuzzy c -Means Clustering
Abstract
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Yukihiro Hamasuna, Yasunori Endo, and Sadaaki Miyamoto
: pp. 429-433
Clustering Algorithm Based on Probabilistic Dissimilarity
Abstract
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Makito Yamashiro, Yasunori Endo, and Yukihiro Hamasuna
: pp. 434-440
Rough Set Approach for Overall Performance Improvement of an Unsupervised ANN-Based Pattern Classifier
Abstract
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Ashwin Kothari and Avinash Keskar
: pp. 441-446
Image Morphing and Warping: Application to Speech Simulation Using a Single Image
Abstract
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Stephen Karungaru, Takuya Akashi, Minoru Fukumi, and Norio Akamatsu
: pp. 447-456
Online Signature Verification Based on User-Generic Fusion Model with Markov Chain Monte Carlo, Taking into Account User Individuality
Abstract
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Kyosuke Koishi, Shintaro Kinoshita, Daigo Muramatsu, and Takashi Matsumoto
: pp. 457-462
Extraction of Evaluation Keywords for Analyzing Product Evaluation in User-Reviews Using Hierarchical Keyword Graph
Abstract
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Tomohiro Yoshikawa, Yuki Uchida, Takeshi Furuhashi, Eiji Hirao, and Hiroto Iguchi
: pp. 463-469
Vehicle Appearance Model for Recognition System Considering the Change of Imaging Condition
Abstract
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Keiji Kuwabara, Yoshikazu Yano, and Shigeru Okuma
: pp. 470-480
Analysis of NSGA-II and NSGA-II with CDAS, and Proposal of an Enhanced CDAS Mechanism
Abstract
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Kyoko Tsuchida, Hiroyuki Sato, Hernan Aguirre, and Kiyoshi Tanaka
: pp. 481-488
Gender and Age Classification Based on Pattern of Human Motion Using Choquet Integral Agent Networks
Abstract
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Santoso Handri, Kazuo Nakamura, and Shusaku Nomura
: pp. 489-498
Relative Relaxation and Weighted Information Loss to Simplify and Stabilize Feature Detection
Abstract
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Ryotaro Kamimura
: pp. 499-505
Text-Style Conversion of Speech Transcript into Web Document for Lecture Archive
Abstract
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Masashi Ito, Tomohiro Ohno, and Shigeki Matsubara

No.3

(May)

Selected Papers from SCIS & ISIS 2008 – No.1

Selected Papers from SCIS & ISIS 2008 – No.1

: p. 171
Selected Papers from SCIS & ISIS 2008 – No.1
Tsuyoshi Nakamura

Welcome to this special issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII). I am pleased to introduce 41 selected papers presented at the 3rd International Conference on Soft Computing and Intelligent Systems (SCIS) and the 7th International Symposium on Advanced Intelligent Systems (ISIS) held on September 17-21, 2008, at Nagoya University in Nagoya, Japan.

This conference featured 401 original papers in presentations attended by some 500 participants.

SCIS & ISIS is a biennial international joint conference in the field of soft computing and intelligent systems, including branches of research ranging from fuzzy systems, neural networks, and evolutionary computation to multiagent systems, artificial intelligence, and robotics.

This current issue presents 20 papers covering most of the conference topics including fuzzy theory, self-organizing maps, robotics, computer vision, and optimization algorithms.

I would like to thank the authors and reviewers and SCIS & ISIS 2008 for making this special issue possible. I am also grateful to Prof. Toshio Fukuda, Nagoya University, and Prof. Kaoru Hirota, Tokyo Institute of Technology, the editors-in-chief, and the SCIS & ISIS 2008 conference staff for inviting me to guest-edit this Journal.

: pp. 172-177
Posture Estimation of a Human Body from Thermal Images of 2D Appearance Models of 3D Ellipsoidal Model
Abstract
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Mitsuhiro Hayase and Susumu Shimada
: pp. 178-184
Shape Classification in Continuous Rotation Manipulation by Universal Robot Hand
Abstract
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Hiroyuki Nakamoto, Futoshi Kobayashi, Nobuaki Imamura, Hidenori Shirasawa, and Fumio Kojima
: pp. 185-192
Operation Planning of District Heating and Cooling Plants Considering Contract Violation Penalties
Abstract
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Kosuke Kato, Masatoshi Sakawa, Keiichi Ishimaru, and Satoshi Ushiro
: pp. 193-203
Soccer Player’s Pose Recognition by Creative Search for Generating Free Viewpoint Images
Abstract
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Haruki Kawanaka, Fuminori Matsubara, and Yuji Iwahori
: pp. 204-209
Comparison and Evaluation of Different Cluster Validity Measures Including Their Kernelization
Abstract
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Wataru Hashimoto, Tetsuya Nakamura, and Sadaaki Miyamoto
: pp. 210-216
Visualization of Huge Climate Data with High-Speed Spherical Self-Organizing Map
Abstract
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Kanta Tachibana, Norihiko Sugimoto, Hideo Shiogama, and Toru Nozawa
: pp. 217-221
Analysis of Components of Waterfront Parks by Using Conjoint Analysis Including an Incomplete Answer
Abstract
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Kiyoshi Shingu and Kiyotoshi Hiratsuka
: pp. 222-229
An Adaptive Muscular Force Generation Mechanism Based on Prior Information of Handling Object
Abstract
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Kosuke Sekiyama, Masahiro Ito, Toshio Fukuda, Takashi Suzuki, and Koshiro Yamashita
: pp. 230-236
Adaptive Kernel Quantile Regression for Anomaly Detection
Abstract
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Hiroyuki Moriguchi, Ichiro Takeuchi, Masayuki Karasuyama, Shin-ichi Horikawa, Yoshikatsu Ohta, Tetsuji Kodama and Hiroshi Naruse
: pp. 237-244
A New Method for Simplifying Algebraic Expressions in Genetic Programming Called Equivalent Decision Simplification
Abstract
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Naoki Mori, Bob McKay, Nguyen Xuan Hoai, Daryl Essam, and Saori Takeuchi
: pp. 245-254
Animated Two-Dimensional Barcode Generation Using Optimization Algorithms – Redesign of Formulation, Operator, and Quality Evaluation
Abstract
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Satoshi Ono, Kensuke Morinaga, and Shigeru Nakayama
: pp. 255-261
Human-Assisted Fuzzy Image Similarity Analysis Based on Information Compression
Abstract
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Gancho Vachkov
: pp. 262-267
A Normative Approach to Fuzzy Logic Reasoning Using Residual Implications
Abstract
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Yahachiro Tsukamoto
: pp. 268-274
The Method to Analyze Freely Described Data from Questionnaires
Abstract
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Masaomi Kimura
: pp. 275-282
Pseudo Online Independent Component Analysis for Dynamical Mixing Using Gradient Optimization
Abstract
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Takahiro Haneda and Shuxue Ding
: pp. 283-288
Virtual Scissors in a Thin Haptic and Force Feedback Environment
Abstract
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Kenji Funahashi, Daisuke Kubotani, Yuji Iwahori, and Koji Tanida
: pp. 289-296
A Genetic-Algorithm-Based Temporal Subtraction for Chest Radiographs
Abstract
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Takeshi Inaba, Lifeng He, Kenji Suzuki, Kazuhito Murakami, and Yuyan Chao
: pp. 297-303
A Modal Characterization of Visibility and Focus in Granular Reasoning
Abstract
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Yasuo Kudo and Tetsuya Murai
: pp. 304-311
Emergence of Cross-Generational Migration Behavior in Multiagent Simulation
Abstract
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Hideki Hashizume, Atsuko Mutoh, Shohei Kato, Tsutomu Kunitachi, and Hidenori Itoh
: pp. 312-319
Adapting Real Mobile Robots to Complex Environments Using a Pattern Association Network Controller (PAN-C)
Abstract
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Indra Bin Mohd Zin, Fady Alnajjar, and Kazuyuki Murase

Regular Papers

: pp. 321-330
Inference with Governing Schemes for Propagation of Fuzzy Convex Constraints Based on α-Cuts
Abstract
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Kiyohiko Uehara, Takumi Koyama, and Kaoru Hirota
: pp. 331-337
Variable Ranking for Online Ensemble Learning
Abstract
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Hassab Elgawi Osman
: pp. 338-346
HACO2 Method for Evolving Hyperbox Classifiers with Ant Colony Optimization
Abstract
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Guilherme N. Ramos, Fangyan Dong, and Kaoru Hirota

No.2

(Mar)

Selected Papers from the 3rd International Symposium on Computational Intelligence and Industrial Applications (ISCIIA2008)

Selected Papers from the 3rd International Symposium on Computational Intelligence and Industrial Applications (ISCIIA2008)

: p. 67
Selected Papers from the 3rd International Symposium on Computational Intelligence and Industrial Applications (ISCIIA2008)
Jianqiang Yi and Fangyan Dong

The biennial International Symposium on Computational Intelligence and Industrial Applications (ISCIIA2008) focuses on advanced technologies for soft computing, computational intelligence, and real-world applications.

The first ISCIIA was held in 2004 in Haikou, China, the second in Guangzhou, China, and the third, hosted by Dali University, held Nov. 21-Nov. 26 in Dali, Yunnan Province, China.

From the 58 papers published in ISCIIA2008 proceedings, 5 have been selected and reviewed for publication in JACIII. This special issue covers learning systems, signal and image processing, human-computer interfacing, intelligent control, and robotics. These selected papers should prove to be interesting and informative for many researchers.

ISCIIA2008 was cochaired by Professor Yaping Dai of Beijing Institute of Technology and professor Lihua Duan of Dali University. The local organizing committee member included Prof. Yilong Gu and Dr. Chen, who worked hard from CFP preparation to local arrangement. The founding chairs – Prof. Kaoru Hirota of Tokyo Institute of Technology, Prof. Shibin Zhao of Guangdong Polytechnical Normal University, and Mr. Raymond Tay of Mycom Inc., Singapore – contributed much to the success of ISCIIA2008.

The fourth ISCIIA will be held in August in Harbin, China, and we look forward to the advances in computational intelligence technologies and industrial applications the occasion will bring.

: pp. 68-75
Micro Robot Control by Use of Electroencephalograms from Right Frontal Area
Abstract
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Takahiro Yamanoi, Hisashi Toyoshima, Toshimasa Yamazaki, Shin-ichi Ohnishi, Michio Sugeno, and Elie Sanchez
: pp. 76-79
Determining Extrinsic Parameters for Active Stereovision
Abstract
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Huawei Wang and De Xu
: pp. 80-85
Hierarchical Bayesian Modeling for Estimating Shared Hidden States with Application to Tracking
Abstract
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Kazuhiko Kawamoto
: pp. 86-90
Profile Generation for TV Program Recommendation Based on Utterance Analysis
Abstract
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Yasufumi Takama and Yuki Muto
: pp. 91-96
Network Administrator Assistance System Based on Fuzzy C-means Analysis
Abstract
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Benhui Chen, Jinglu Hu, Lihua Duan, and Yinglong Gu

Regular Papers

: pp. 97-108
Experimental Study on Pair Swap Strategy in Quantum-Inspired Evolutionary Algorithm
Abstract
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Takahiro Imabeppu, Shigeru Nakayama, and Satoshi Ono
: pp. 109-114
Effective Image Mining by Representing Color Histograms as Time Series
Abstract
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Zaher Al Aghbari
: pp. 115-127
Automatic Acquisition of Image Filtering and Object Extraction Procedures from Ground-Truth Samples
Abstract
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Shahryar Rahnamayan, Hamid R. Tizhoosh, and Magdy M.A. Salama
: pp. 128-134
Optimal Location of Wireless LAN Access Points Using Fuzzy ID3
Abstract
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Isao Hayashi, Takashi Kobayashi, Yoshinori Arai, Toshiyuki Maeda, and Atsushi Inoue
: pp. 135-149
Fuzzy Inference with Schemes for Guaranteeing Convexity and Symmetricity in Consequences Based on α-Cuts
Abstract
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Kiyohiko Uehara, Takumi Koyama, and Kaoru Hirota
: pp. 150-154
Robust Guaranteed Cost Control of Uncertain Fuzzy Systems Under Sampled-Data Inputs
Abstract
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Jun Yoneyama
: pp. 155-161
Random-TD Function Approximator
Abstract
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Hassab Elgawi Osman

No.1

(Jan)

Regular papers

Regular Papers

: pp. 3-9
Cognitive Informatics Model for Non-Overlapped Image Filtering Based on the Optical Aberrations of the Eye
Abstract
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Barna Reskó, Ákos Antal, and Péter Baranyi
: pp. 10-15
Humanoid Knowledge-Based Decision Support Systems (KBDSS) – Subjective or Objective Data Query
Abstract
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Ulrich H. Langanke
: pp. 16-24
Genetic Network Programming with Rules
Abstract
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Fengming Ye, Lu Yu, Shingo Mabu, Kaoru Shimada, and Kotaro Hirasawa
: pp. 25-34
Parallel Distributed Compensation Based Stabilization of A 3-DOF RC Helicopter: A Tensor Product Transformation Based Approach
Abstract
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Péter Baranyi, Péter Korondi, and Kazuo Tanaka
: pp. 35-44
A Study of Double-Deck Elevator Systems Using Genetic Network Programming with Reinforcement Learning
Abstract
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Jin Zhou, Lu Yu, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, and Sandor Markon
: pp. 45-51
Fuzzy-Possibilistic Classification: Resolution of Initialization Problem
Abstract
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Houria Boudouda, Mohamed Nemissi, Hamid Seridi, and Herman Akdag
: pp. 52-60
HOSVD Based Canonical Form for Polytopic Models of Dynamic Systems
Abstract
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László Szeidl and Péter Várlaki

Vol.12 (2008)

No.6

(Nov)

Selected Papers from ISIS 2007

Selected Papers from ISIS 2007

: p. 487
Selected Papers from ISIS 2007
G. K. Park

The 8th International Symposium on Advanced Intelligent Systems (ISIS 2007), a biennial joint conference between Korea and Japan, focuses on artificial intelligence, intelligent systems, information technology, and their applications. ISIS 2007, held on September 5-8 at Soraksan National Park under the auspices of the Korea Fuzzy Logic and Intelligent Systems Society (KFIS), was attended by 265 researchers, engineers, and other professionals and featured 206 presentations. Of more than 20 papers preliminarily selected and reviewed by the ISIS 2007 International Program Committees, 7 were chosen for the special issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics, centering on advanced intelligent systems including robotics, pattern recognition, data mining, and decision-making systems. The content and conclusions presented in these fine papers should prove both interesting and informative to specialists and generalists alike. I thank the authors and reviewers for their painstaking contributions to this special issue and Prof. Kaoru Hirota of the Tokyo Institute of Technology for inviting me to guest-edit this work.

: pp. 488-493
Position Uncertainty Reduction of Mobile Robot Based on DINDs in Intelligent Space
Abstract
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TaeSeok Jin and Hideki Hashimoto
: pp. 494-502
Concept of Humatronics and its Application to Human-Robot Communication Support Under TV Watching Environment
Abstract
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Yasufumi Takama, Hiroki Namba, Yoshihiro Iwase, Yuki Muto, and Shunichi Hattori
: pp. 503-508
Implementation of Humanoid Robot Arm Based on SERCOS Network
Abstract
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Yongseon Moon, Nak Yong Ko, Dong Jin Seo, Eunju Kim, and Youngchul Bae
: pp. 509-515
Recognition of Traffic Signs and Korean Texts on Traffic Signs Using Japanese Puzzle
Abstract
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Youngsun Sohn and Ilsik Shin
: pp. 516-522
A Data Mining Approach to Rainfall Intensity Classification Using TRMM/TMI Data
Abstract
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Shan-Tai Chen, Shung-Lin Dou, and Wann-Jin Chen
: pp. 523-528
Prototype Design of Decision Supports for GRID Clearinghouse Service Framework
Abstract
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Johannes K. Chiang and Kiekang Chao
: pp. 529-536
A Study on the Location Analysis Using Spatial Analysis and Ordered Weighted Averaging Operator Weighting Functions
Abstract
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Se-Woong Oh, Gyei-Kark Park, Jong-Min Park, and Sang-Hyun Suh
: pp. 537-545
Switching Fuzzy Model Construction and Controller Design for Dynamical Systems with Input Nonlinearity
Abstract
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Hiroshi Ohtake and Kazuo Tanaka
: pp. 546-553
Optimal Route Based on Dynamic Programming for Road Networks
Abstract
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Manoj Kanta Mainali, Kaoru Shimada, Shingo Mabu, and Kotaro Hirasawa

No.5

(Sep)

Modeling Decisions for Artificial Intelligence

Modeling Decisions for Artificial Intelligence

: p. 408
Modeling Decisions for Artificial Intelligence
Vicenç Torra and Yasuo Narukawa

In August 2007, the 4th International Conference on Modeling Decisions for Artificial Intelligence (MDAI1) was held in Kitakyushu, Japan. This special issue has its origins in the conference. We present nine papers related to soft computing tool applications. The first paper, by Honda and Okazaki, presents an axiomatization of a generalized Shaply value. The second paper, by García-Lapresta, also related to decision-making, introduces a multistage decision procedure in which decision-makers opinions are weighted by their contribution to an agreement. The third paper, by Torra and Miyamoto, concerns the problem of loading a container, outlining a system for loading nonorthogonal objects. The fourth paper, by Sakai, Koba, and Nakata, is devoted to rule generation based on rough sets. The fifth paper by Hiramatsu, Huynh, and Nakamori, deals with a fuzzy-based model applied to weather information. The sixth paper, by Inokuchi and Miyamoto, discuss fuzzy clustering algorithms for discrete data. The seventh paper, by Miyamoto, Kuroda, and Arai, studies an algorithm for the sequential extraction of clusters compared to mountain clustering. In the eighth paper, Miyamoto formulates fuzzy clustering using the calculus of variations. The ningth and final paper treats fuzzy clustering, in which Endo et al. discuss fuzzy c-means for data with tolerance. In closing, we thank the referees for their work on reviews and Prof. Hirota for editing this special issue. We also thank the Fuji Technology Press Ltd. staff for its advice.

1Work partially funded by Spanish MEC (projects ARES – CONSOLIDER INGENIO 2010 CSD2007-00004 – and eAEGIS – TSI2007-65406-C03-02)

: pp. 409-415
Axiomatization of Shapley Values of Fagle and Kern Type on Set Systems
Abstract
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Aoi Honda and Yoshiaki Okazaki
: pp. 416-421
Favoring Consensus and Penalizing Disagreement in Group Decision Making
Abstract
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José Luis García-Lapresta
: pp. 422-425
Container Loading for Nonorthogonal Objects: Detecting Collisions
Abstract
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Vicenç Torra and Sadaaki Miyamoto
: pp. 426-434
Rough Sets Based Rule Generation from Data with Categorical and Numerical Values
Abstract
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Hiroshi Sakai, Kazuhiro Koba, and Michinori Nakata
: pp. 435-442
A Behavioral Decision Model Based on Fuzzy Targets in Decision Making Using Weather Information
Abstract
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Akio Hiramatsu, Van-Nam Huynh, and Yoshiteru Nakamori
: pp. 443-447
Fuzzy c-Means Algorithms Using Kullback-Leibler Divergence and Helliger Distance Based on Multinomial Manifold
Abstract
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Ryo Inokuchi and Sadaaki Miyamoto
: pp. 448-453
Algorithms for Sequential Extraction of Clusters by Possibilistic Method and Comparison with Mountain Clustering
Abstract
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Sadaaki Miyamoto, Youhei Kuroda, and Kenta Arai
: pp. 454-460
Formulation of Fuzzy c-Means Clustering Using Calculus of Variations and Twofold Membership Clusters
Abstract
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Sadaaki Miyamoto
: pp. 461-466
Fuzzy c-Means for Data with Rectangular Maximum Tolerance Range
Abstract
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Yasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna, and Sadaaki Miyamoto
: pp. 467-478
Time Related Association Rules Mining with Attributes Accumulation Mechanism and its Application to Traffic Prediction
Abstract
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Huiyu Zhou, Wei Wei, Kaoru Shimada, Shingo Mabu, and Kotaro Hirasawa
: pp. 479-484
An Evolutionary Hybrid Scheduling Algorithm for Computational Grids
Abstract
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Shajulin Benedict, Rejitha R. S, and V. Vasudevan

No.4

(Jul)

Selected Papers from HNICEM 2007

Selected Papers from HNICEM 2007

: p. 327
Selected Papers from HNICEM 2007
Elmer P. Dadios

The Third International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) was held in Century Park Hotel, Manila, Philippines from March 15 to 18, 2007. The theme on this conference was Technology Creativity and Innovations for Economic Development. As has been done from the previous HNICEM conferences, cutting edge papers presented from this conference are reviewed and selected for JACIII special issue publication. In this special issue, 10 articles are selected that will provide valuable references for researchers and practitioners. The first article presents an integrated algorithm that provides a mobile robot the ability to plan an optimal path and does online collision avoidance in a totally unknown environment. The second article presents a fuzzy controller technique in navigation with obstacle avoidance for a general purpose mobile robot in a given global environment with image processing technique using Open Source Computer Vision. The third article presents a model-based controller for helicopter using the sliding mode approach. The controller assumes that only measured outputs are available and it uses sliding mode observer to estimate the state of the system. The fourth article presents a real-time fuzzy logic based parallel parking system in an FPGA platform. The fifth article presents performance analysis of container unloading operations using simplified analytical model (SAM). The sixth article presents a neuro-fuzzy approach with additional moving average window data filter and fuzzy clustering algorithm use to forecast electrical load. The seventh article presents a new design and implementation of a multi-output fuzzy controller for real time control which utilizes lesser memory and executes faster than an existing type of multiple single-output fuzzy logic controllers. The eight article presents a new method based on multi-objective evolutionary algorithms to evolve low complexity neural controllers that allows an agent to perform two different tasks simultaneously. The ninth and tenth articles present genetic networks programming for stock market trading rules and for traffic systems applications, respectively. We extend our warmest thanks and deepest gratitude to the distinguished authors and reviewers who have contributed to this special issue for their outstanding contributions and cooperation. We are also grateful to Prof. Toshio Fukuda and Prof. Kaoru Hirota, chief editors of JACIII, for their continued support to all the HINICEM International Conferences. Come March 12 to 15, 2009, the 4th HNICEM International Conference will be held in Manila, Philippines. We thank the IEEE Philippines for its continuing sponsorship. Also to JACIII journal, as outstanding papers presented in this conference will be selected for publication in a special issue. We invite you to submit your research papers and to participate in HNICEM 2009. For further information, please visit “http://www.dlsu.edu.ph/conferences/hnicem/”.

: pp. 328-335
An Integrated Algorithm for Autonomous Navigation of a Mobile Robot in an Unknown Environment
Abstract
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Lee Gim Hee and Marcelo H. Ang Jr.
: pp. 336-341
Mobile Robot Navigation Using Open Computer Vision with Fuzzy Controller
Abstract
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Julirose Gonzales and Zahari Taha
: pp. 342-347
Helicopter Motion Control Using Model-Based Sliding Mode Controller
Abstract
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Gesang Nugroho and Zahari Taha
: pp. 348-354
Implementation of a Real-Time FPGA-Based Intelligent Parallel Parking System
Abstract
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Mohamed Slim Masmoudi, Willie Tsui, Insop Song, Fakhreddine Karray, Mohamed Masmoudi, and Nabil Derbel
: pp. 355-360
Performance Analysis of Container Unloading Operations at the Port of Suva Using a Simplified Analytical Model (SAM)
Abstract
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Shivendra Kumar and Ljubo Vlacic
: pp. 361-369
Neuro-Fuzzy Approaches for Forecasting Electrical Load Using Additional Moving Average Window Data Filter on Takagi-Sugeno Type MISO Networks
Abstract
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Felix Pasila, Ajoy K. Palit, and Georg Thiele
: pp. 370-376
An Optimized Multi-Output Fuzzy Logic Controller for Real-Time Control
Abstract
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Noel S. Gunay and Elmer P. Dadios
: pp. 377-381
Effect of Genetic Encoding on Evolution of Efficient Neural Controllers
Abstract
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Genci Capi
: pp. 383-392
Trading Rules on Stock Markets Using Genetic Network Programming with Sarsa Learning
Abstract
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Yan Chen, Shingo Mabu, Kaoru Shimada, and Kotaro Hirasawa
: pp. 393-403
Comparative Association Rules Mining Using Genetic Network Programming (GNP) with Attributes Accumulation Mechanism and its Application to Traffic Systems
Abstract
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Wei Wei, Huiyu Zhou, Kaoru Shimada, Shingo Mabu, and Kotaro Hirasawa

No.3

(May)

Selected Papers from TAAI 2006

Selected Papers from TAAI 2006

: p. 217
Selected Papers from TAAI 2006
Hsin-Chang Yang, Wen-Yang Lin, Chun-Yang Chang, Cheng-Hong Yang, Shyi-Ming Chen

The 11th Conference on Artificial Intelligence and Applications (TAAI 2006), which was held during Dec. 15-16, 2006 at Kaohsiung, Taiwan, is the annual conference of Taiwanese Association for Artificial Intelligence. The conference is intended to provide a forum for researchers and scholars in the related fields of artificial intelligence. Past conferences have proven them successful attempts to become the most important meeting of artificial intelligence researchers in Taiwan. This is also true for TAAI 2006, which focuses on various aspects on theory and practice of artificial intelligence. In this special issue, 11 papers presented in the conference are selected and extended for their outstanding performance on the conference. These papers cover wide spreading aspects, which include versatile motion planning, particle swarm optimization, data mining, image retrieval, music retrieval, natural language processing, navigation, fuzzy logic, gaming, and bioinformatics. This issue thus concisely summarizes recent advances in artificial intelligence and its applications. The readers should find them valuable and inspiring. We hope that this issue should provide a valuable resource for their researches. As guest editors of this special issue, we like to express our greatest gratitude to those that help this issue come true. Thanks to all contributors and referees for their elaborate works and careful reviews that assure the high quality of this issue. Special thanks should go to Mr. Makoto Shimada of Fuji Technology Press for his efforts and kind assistance in publishing this issue. Finally, we also like to thank the Editors in Chief of JACIII, Prof. Toshio Fukuda and Prof. Kaoru Hirota, for their generous hospitality in supporting this special issue.

: pp. 218-226
A Combination of Shuffled Frog-Leaping Algorithm and Genetic Algorithm for Gene Selection
Abstract
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Cheng-San Yang, Li-Yeh Chuang, Chao-Hsuan Ke, and Cheng-Hong Yang
: pp. 227-233
A Dual Ternary Indexing Approach for Music Retrieval System
Abstract
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Hewijin Christine Jiau and Chuan-Wang Chang
: pp. 234-242
Supporting the Translation and Authoring of Test Items with Techniques of Natural Language Processing
Abstract
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Ming-Shin Lu, Yu-Chun Wang, Jen-Hsiang Lin, Chao-Lin Liu, Zhao-Ming Gao, and Chun-Yen Chang
: pp. 243-248
Rain-Area Identification Using TRMM/TMI Data by Data Mining Approach
Abstract
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Shan-Tai Chen, Chien-Chen Wu, Wann-Jin Chen, and Jen-Chi Hu
: pp. 249-253
An Approach to Improve Estimation Performance of GM(1,1) Model
Abstract
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Cheng-Hsiung Hiseh, Ren-Hsien Huang, and Ting-Yu Feng
: pp. 254-262
Hybrid GPS/GSM Positioning Systems Design with Fuzzy Logic
Abstract
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Hsin-Yuan Chen and Chen-Hung Liu
: pp. 263-267
Design and Implementation of Combinatorial Game Calculator
Abstract
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Kuo-Yuan Kao
: pp. 268-276
An Efficient DCT-Based Image Retrieval Approach Using Distance Threshold Pruning
Abstract
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Tienwei Tsai, Te-Wei Chiang, and Yo-Ping Huang
: pp. 277-283
A Unified Approach to Planning Versatile Motions for an Autonomous Digital Actor
Abstract
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Yueh-Tse Li and Tsai-Yen Li
: pp. 284-289
Evolving Particle Swarm Optimization Implemented by a Genetic Algorithm
Abstract
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Jenn-Long Liu
: pp. 290-295
H Filtering Approach for GSM Navigation Systems
Abstract
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Hsin-Yuan Chen
: pp. 297-303
RBF Networks Ensemble Construction based on Evolutionary Multi-objective Optimization
Abstract
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Nobuhiko Kondo, Toshiharu Hatanaka, and Katsuji Uosaki
: pp. 304-313
Fuzzy Inference based Mentality Expression for Eye Robot in Affinity Pleasure-Arousal Space
Abstract
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Yoichi Yamazaki, Yutaka Hatakeyama, Fangyan Dong, Kohei Nomoto, and Kaoru Hirota
: pp. 314-323
Reduction Models in Competitive Learning Founded on Distortion Standards
Abstract
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Michiharu Maeda, Noritaka Shigei, Hiromi Miyajima, and Kenichi Suzaki

No.2

(Mar)

Special Issue on Intelligence Techniques in Computer Games and Simulations

Special Issue on Intelligence Techniques in Computer Games and Simulations

: p. 105
Intelligence Techniques in Computer Games and Simulations
Ruck Thawonmas

This issue presents eight research papers focusing on different aspects of intelligence techniques and their applications in computer games and simulations. They are extended papers from those accepted and presented at the International Symposium on Intelligence Techniques in Computer Games and Simulations that was held in Shiga, Japan on March 1-2, 2007.

The issue starts with a paper entitled gUsing Automatic Calibration with Microscopic Traffic Simulation,h which focuses on the use of a genetic algorithm for searching parameter spaces of a microscopic traffic simulation. The second paper, gOn-Line Fault Detection and Compensation of Hydraulic Driven Machines Using Modelling Techniques,h presents the use of modelling information for the fault detection of hydraulic driven machines as well as for the compensation of incipient faults. The third paper, gGeneration of Character Motion by Using Reactive Motion Capture System with Force Feedback,h focuses on animation making with reactive motion data generated from the interaction with force feedback and the virtual environment. The fourth paper, gModeling of Wood Aging Caused by Biological Deterioration,h looks into an application of an ant colony optimization algorithm to generation of wood aging patterns caused by biological deterioration.

The next three papers are related to network games. The fifth paper, gIntelligent Synchronization for Mirrored Game Servers: A Real Case Study,h examines the effectiveness of an intelligent optimistic synchronization scheme for mirrored game server architectures in real multiplayer-online-game environment. The sixth paper, gI3P: A Protocol for Increasing Reliability and Responsiveness in Massively Multiplayer Games,h presents a peer-to-peer (P2P) approach for minimizing the server bottleneck in online gaming and for increasing response and reliability. The seventh paper, gHaar Wavelets for Online-Game Player Classification with Dynamic Time Warping,h presents an application of Haar wavelet for reduction of online game players’ action sequences used in player classification. Finally, the eighth paper, gDeveloping Natural Language Enabled Games in SCXML,h looks into the potential of SCXML for the game design and implementation.

As the guest editor of this special issue, I would like to express my sincere gratitude to the authors in this issue for their hard job. Special thanks go to the anonymous referees for their assistance in the review process. Finally, I wish to thank JACIII staffs for their helps in coordinating the publication of the issue.

: pp. 106-110
Using Automatic Calibration with Microscopic Traffic Simulation
Abstract
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Iisakki Kosonen
: pp. 111-115
On-Line Fault Detection and Compensation of Hydraulic Driven Machines Using Modelling Techniques
Abstract
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Chrissanthi Angeli and Avraam Chatzinikolaou
: pp. 116-124
Generation of Character Motion by Using Reactive Motion Capture System with Force Feedback
Abstract
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Woong Choi, Naoki Hashimoto, Ross Walker, Kozaburo Hachimura, and Makoto Sato
: pp. 125-131
Modeling of Wood Aging Caused by Biological Deterioration
Abstract
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Xin Yin, Tadahiro Fujimoto, Norishige Chiba, and Hiromi T. Tanaka
: pp. 132-141
Intelligent Synchronization for Mirrored Game Servers: A Real Case Study
Abstract
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Stefano Ferretti, Marco Roccetti, and Claudio E. Palazzi
: pp. 142-149
I3P: A Protocol for Increasing Reliability and Responsiveness in Massively Multiplayer Games
Abstract
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Jeremy Kackley, Matthew Gambrell, and Jean Gourd
: pp. 150-155
Haar Wavelets for Online-Game Player Classification with Dynamic Time Warping
Abstract
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Ruck Thawonmas and Keita Iizuka
: pp. 156-163
Developing Natural Language Enabled Games in SCXML
Abstract
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Jenny Brusk and Torbjörn Lager
: pp. 165-171
Non Linear Disturbance Accommodation Fuzzy Control
Abstract
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Slim Abdelbari and Jelel Ezzine
: pp. 172-181
Fuzzy Logic Based Lane Change Model for Microscopic Traffic Flow Simulation
Abstract
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Madhu Errampalli, Masashi Okushima, and Takamasa Akiyama
: pp. 182-189
Algorithm for Web Service Discovery Based on Information Retrieval Using WordNet and Linear Discriminant Functions
Abstract
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Ricardo Sotolongo, Carlos Kobashikawa, Fangyan Dong, and Kaoru Hirota
: pp. 190-197
Further Results on T-S Fuzzy Controller Design Subject to Input Constraint
Abstract
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Hugang Han
: pp. 198-205
State Dependant Anytime Control Methodology for Non-Linear Systems
Abstract
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Annamária R. Várkonyi-Kóczy
: pp. 206-213
A Universal Autonomous Robot Navigation Method
Abstract
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Annamária R. Várkonyi-Kóczy

No.1

(Jan)

Selected Papers from the 2nd International Symposium on Computational Intelligence and Industrial Applications (ISCIIA 2006)

Selected Papers from the 2nd International Symposium on Computational Intelligence and Industrial Applications (ISCIIA 2006)

: p. 3
Selected Papers from the 2nd International Symposium on Computational Intelligence and Industrial Applications (ISCIIA 2006)
Shibin Zhao, Fangyan Dong, and Shinichi Yoshida

Real-world applications include the complex behavior of natural phenomena and the human mind-issue not easily dealt with using conventional engineering. This calls for the use of softcomputing and computational intelligence. The International Symposium on Computational Intelligence and Industrial Applications (ISCIIA), targets the development of computational intelligence technology and increasing activity in applications to real-world systems in industry. The first ISCIIA conference, held in December 2004 at Hainan University, China, covered image processing, networks, signal processing, optimization, data mining, rough sets, and e-Learning. The second ISCIIA conference, held in Guangzhou, China, in November 2006 centered on 55 papers published in the ISCIIA 2006 proceedings. This special JACIII issue features seven papers from these proceedings dealing with intelligent image processing, brain science, human-computer interaction, data mining, and industrial applications. All are interesting, and the paper by Jing et al. was chosen as the best paper of the conference. This conference was chaired by Professor Lefu Wang, president of Guangdong Polytechnic Normal University, and Professor Shibin Zhao. The local organizing committee consisted of Professor Fengmei Zhang, Professor Shibin Zhao, Professor Jin Zhang, and Professor Jianxiong Zhang, all of whom worked to make this conference a success. Founding chairs, Professor Kaoru Hirota, Professor Shibin Zhao, and Dr. Raymond Tay also contributed much to the conference’s interesting discussions and presentations, for which we are most grateful. The conference was sponsored by the International Fuzzy Systems Association (IFSA), the Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT), Guangdong Polytechnic Normal University (GPNU), the Singapore Industrial Automation Association (SIAA), and the Center of Excellence 21-Agent Based Social Science Systems (COE21-ABSSS). The third ISCIIA will be held in 2008 in Dali, China, and we look forward to the advances in computational intelligence technology and its novel applications that this event will present.

: pp. 4-9
Detection Algorithm for Real Surveillance Cameras Using Geographic Information
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Yutaka Hatakeyama, Akimichi Mitsuta, and Kaoru Hirota
: pp. 10-15
Intelligent Information Presentation Corresponding to User Request Based on Collaboration Between Text and 2D Charts
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Chiaki Watanabe and Ichiro Kobayashi
: pp. 16-25
Tracking of Multiple Moving Objects in Dynamic Image of Omni-Directional Camera Using PHD Filter
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Norikazu Ikoma, Ryuichi Yamaguchi, Hideaki Kawano, and Hiroshi Maeda
: pp. 26-31
Mining Association Rules from TV Watching Log for TV Program Recommendation
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Yasufumi Takama and Shunichi Hattori
: pp. 32-40
Eye Position Estimation During Sleep Using Infrared Video in Functional MRI
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Syoji Kobashi, Yuji Yahata, Shigeyuki Kan, Masaya Misaki, Takahiko Koike, Katsuya Kondo, Satoru Miyauchi, and Yutaka Hata
: pp. 41-47
Generation System of Attractive Summary of Story
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Shunsuke Nakano and Takehisa Onisawa
: pp. 48-55
Printing Pressure State Inspection System Based on Fuzzy Inference
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Jianping Jing, Fangyan Dong, Yutaka Hatakeyama, Yasufumi Takama, Toru Yamaguchi, and Kaoru Hirota
: pp. 57-62
Effects of Initialization on Rule Extraction in Structural Learning
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Hiroshi Shiratsuchi, Hiromu Gotanda, Katsuhiro Inoue, and Kousuke Kumamaru
: pp. 63-76
A Genetic Network Programming Based Method to Mine Generalized Association Rules with Ontology
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Guangfei Yang, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, and Jinglu Hu
: pp. 77-84
Verifying the Reliability of Web Services Interactions for the Robot Communication Platform
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Masahiko Narita, Makiko Shimamura, Sadao Yashiro, Kazunori Iwasa, and Toru Yamaguchi
: pp. 85-93
A Global Optimization Method RasID-GA for Neural Network Training
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Dongkyu Sohn, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, and Jinglu Hu
: pp. 94-101
Support Vector Machine Classifier with WHM Offset for Unbalanced Data
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Boyang Li, Jinglu Hu, and Kotaro Hirasawa

Vol.11 (2007)

No.10

(Dec)

Selected Papers from InTech'05

Selected Papers from InTech'05

: pp. 1175-1176
Selected Papers from InTech’05
Jirapun Daengdej, Pratit Santiprabhob, Hung T. Nguyen, and Vladik Kreinovich

The main objective of the annual International Conference on Intelligent Technologies (InTech) is to bring together researchers and practitioners who implement intelligent and fuzzy technologies in real-world environment. The Sixth International Conference on Intelligent Technologies InTech was held in Phuket, Thailand, on December 14-16, 2005. Topics of InTech’05 included mathematical foundations of intelligent technologies, traditional Artificial Intelligent techniques, uncertainty processing and methods of soft computing, learning/adaptive systems/data mining, and applications of intelligent technologies. This special issue contains extended versions of 11 selected papers originally presented at InTech’05. These papers cover most of the topics of the conference. Several papers describe intelligent applications of traditional data processing and signal processing techniques. H. Sawada et al. use advanced signal processing techniques to separate it sounds coming from different directions and thus, to enable user to it control robots by voice in noisy environments. N. Theera-Umpon uses a techniques of selecting a Region of Interest to enhance the behavior of the signal processing techniques when it detecting buried landmines. N. Shigei et al. describe innovative vector quantization technique which improve it image compression. T. A. Duong et al. use entropy approach to automatically it detect different it chemicals in the air. A few papers describe new applications of fuzzy and computing-with-words techniques. J. Han et al. describe how fuzzy it clustering techniques can be enhanced when we take into account that different factors may have different importance and thus, must be taken with different weights. J. Y. Zhang et al. show how fuzzy techniques – specifically, fuzzy causal models – can improve the efficiency of computer systems for it e-commerce. I. Kobayashi et al. use a new techniques (similar to computing with words) that helps to it personalize help for software users. Several papers take into account that in real life, knowledge is it hierarchical, and decision making and control are also hierarchical. T. H. Tran et al. show how a hierarchical combination of PID control with sliding-mode controllers can lead to robust non-overshoot high quality it control. L. Ding describes general challenges and ideas related to the need to take into account the hierarchical character of our knowledge. Finally, two papers deal with radically new approaches to intelligent data processing. Y. Murai et al. propose a new efficient method of it representing objects in space, a method in which an object A is described by “distance field” d(x) – describing the distance from an arbitrary point x to this object A. K. Akama et al. describe a new general computation model that is extremely useful in it checking program correctness. We want to thank all the authors for their outstanding work, the participants of InTech’05 for their helpful suggestions, the anonymous reviewers for their thorough analysis and constructive help, and – last but not the least – to Professor Kaoru Hirota for his kind suggestion to host this issue and to the entire staff of the journal for their tireless work.

: pp. 1177-1183
A Robotic Auditory System that Interacts with Musical Sounds and Human Voices
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Hideyuki Sawada and Toshiya Takechi
: pp. 1184-1188
Unexploded Ordnance Detection Using Region of Interest in Range Domain of Ground Penetrating Radar
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Nipon Theera-Umpon
: pp. 1189-1196
Effective Multiple Vector Quantization for Image Compression
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Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda, and Lixin Ma
: pp. 1197-1203
Space Invariant Independent Component Analysis and ENose for Detection of Selective Chemicals in an Unknown Environment
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Tuan A. Duong, Margaret A. Ryan, and Vu A. Duong
: pp. 1204-1208
An Iterative Approach for Fuzzy Clustering Based on Feature Significance
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Jianchao Han and Mohsen Beheshti
: pp. 1209-1215
A Qualitative Model for Service Oriented Computing
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Jian Ying Zhang, Hepu Deng, and Ryszard Kowalczyk
: pp. 1216-1223
Intelligent Help System that Synchronizes Application Software Operation: Toward Intelligent Tailor-Made Information Provision
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Ichiro Kobayashi and Tomoko Tsunawaki
: pp. 1224-1231
Robust Non-Overshoot Time Responses Using Cascade Sliding Mode-PID Control
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Thanh H. Tran, Quang P. Ha, and Hung T. Nguyen
: pp. 1232-1240
A Model of Hierarchical Knowledge Representation – Toward Knowware for Intelligent Systems
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Liya Ding
: pp. 1241-1249
Distance Field Model Concept for Space Representation
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Yasuyuki Murai, Suguru Asaoka, Hiroyuki Tsuji, Hisayuki Tatsumi, and Shinji Tokumasu
: pp. 1250-1261
State-Transition Computation Models and Program Correctness Thereon
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Kiyoshi Akama and Ekawit Nantajeewarawat
: pp. 1262-1273
Graph/Knot Theoretical Analysis and Generation for Impossible Figures
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Kento Tarui, Fangyan Dong, Yutaka Hatakeyama, and Kaoru Hirota
: pp. 1274-1280
Joint Attention Between a Human Being and a Partner Robot Based on Computational Intelligence
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Naoyuki Kubota, Toshiyuki Shimizu, and Minoru Abe

No.9

(Nov)

Special Issue on IEEE-ICCC 2006

Special Issue on IEEE-ICCC 2006

: p. 1061
IEEE-ICCC 2006
Béla Pátkai, J. A. Tenreiro Machado, and Imre J. Rudas

The study of systems and complexity has taken an intriguing route in the last hundred years, involved some of the most fascinating scientists, synthesised new fields of research and found novel applications requiring a fresh and revolutionary approach. Computational Cybernetics is a pragmatic response for the needs of engineering and social systems that integrates Cybernetics with Computational Intelligence. The IEEE International Conference on Computational Cybernetics (IEEE ICCC) has been successfully promoting the open-minded but scientifically sound integration of advanced mathematical and systems engineering methods in multidisciplinary domains since 2003. This special issue is a selection of the most characteristic and instructive papers from the previous IEEE ICCC conference, held in the summer of 2006 in Tallinn, Estonia. All of the papers in this issue represent vividly the broad scope and integrating nature of Computational Cybernetics. As Tar et al. notes in the first paper, a century-old conjecture of Hilbert solved fifty years ago can help us build new solutions in the 21st century in the field of nonlinear system control. In the same way each of the following papers represent a bridge between analogies from nature, computational methods and challenging multidisciplinary problems – helping us to convey our message to the professional audience of this journal. The special issue editors would like to thank the authors of the papers in this issue, the participants of the IEEE ICCC conferences for contributing to its stimulating, multidisciplinary environment and the professional support of the Journal editors and their staff.

: pp. 1062-1071
Comparison of Fractional Robust- and Fixed Point Transformations- Based Adaptive Compensation of Dynamic Friction
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József K. Tar, Imre J. Rudas, and Béla Pátkai
: pp. 1072-1078
Fractional Control of Coordinated Manipulators
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N. M. Fonseca Ferreira and J. A. Tenreiro Machado
: pp. 1079-1085
Experimental Signal Analysis of Robot Impacts in a Fractional Calculus Perspective
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Miguel F. M. Lima, J. A. Tenreiro Machado, and Manuel Crisóstomo
: pp. 1086-1091
Application of Fractional Calculus in the Control of Heat Systems
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Isabel S. Jesus and J. A. Tenreiro Machado
: pp. 1092-1098
Optimization of Genetic Operators for Scheduling Problems
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António Ferrolho and Manuel Crisóstomo
: pp. 1099-1106
Research on the Sheepdog Problem Using Cellular Automata
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Yoshinobu Adachi and Masayoshi Kakikura
: pp. 1107-1113
Supporting Lifecycle Management of Product Data by Organized Descriptions and Behavior Definitions of Engineering Objects
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László Horváth
: pp. 1114-1121
Feedback Control of an Inverted Pendulum by Use of Artificial Intelligence
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Webjørn Rekdalsbakken
: pp. 1122-1127
Computational Intelligence in Circuit Synthesis
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Cecília Reis and J. A. Tenreiro Machado
: pp. 1129-1135
Estimation of Protein Function Using Optimized Finite State Automaton Based on Accumulated Amino Acid Residue Scores
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Shinji Chiba and Ken Sugawara
: pp. 1136-1143
Arbitrary-Shaped Cluster Separation Using One-Dimensional Data Mapping and Histogram Segmentation
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